Pith. sign in

Paper Citation Record · LEDGER

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

As of 10 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 100 inbound Pith citation observations for arXiv:2504.21801.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2504.21801 v2

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T09:32:05.642611Z

measured 136 of 136 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 100 of 114 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:11:17.462875Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

36 of 36 outbound references displayed

  • verified exact1
  • verified fuzzy16
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 6479e86a-1f1e-4d7a-b287-167f95917dc3 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-15T09:32:05.672242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T09:32:05.642611Z digest=sha256:8c33d6d8215cc6d5716509e519c7652382e8530560afc079d7e33574a54edce4

Observation 09fbe32d-c1ca-4716-aed9-5e8fe0879ed2 · outbound

This paper cites − Note that 𝑘 is a positive integer since all terms are positive.

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition − Note that 𝑘 is a positive integer since all terms are positive

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:32:05.682447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T09:32:05.642611Z digest=sha256:31b9850a4b23e5da74dad086b4be034c7e20ae632029be28bb4c24298ddf3b4b

Observation f0becf5e-61b2-4761-af5e-c0785bc3adb3 · outbound

This paper cites − Alternatively, note that for 𝑝, 𝑞, 𝑟 in the given range, 𝑘 ⩽ 3 is natural, as larger 𝑘 would make the right side too large.

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition − Alternatively, note that for 𝑝, 𝑞, 𝑟 in the given range, 𝑘 ⩽ 3 is natural, as larger 𝑘 would make the right side too large

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:32:05.689184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T09:32:05.642611Z digest=sha256:a9f34a4f5e9bffcf53cf64d3c4e652dbd301eb94a635740ea922f7c37d2d31ee

Observation ddf56846-dc47-47e4-809a-4462779cdd10 · outbound

This paper cites − This has no solutions since 𝑝, 𝑞, 𝑟 ⩾ 2, making the left side much larger than the right.

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition − This has no solutions since 𝑝, 𝑞, 𝑟 ⩾ 2, making the left side much larger than the right

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:32:05.696081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T09:32:05.642611Z digest=sha256:c0da6423f33b48d2234cf936cfe67852e6ed67273d5217d90ee0fb882df22766

Observation ed8fe25e-36f1-4e6d-9518-a1ca0b3ebb84 · outbound

This paper cites − For 𝑝 = 2, no solution.

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition − For 𝑝 = 2, no solution

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:32:05.703578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T09:32:05.642611Z digest=sha256:16fc368eef247a7bd33aefdf8fba3a42fc42ba5d426bfd995bba69bab72d05e5

Observation f7756a3c-8703-40fe-bcd6-5d3dfa077491 · outbound

This paper cites − For 𝑝 = 2, solve to get ( 𝑝, 𝑞, 𝑟) = (2, 4, 8).

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition − For 𝑝 = 2, solve to get ( 𝑝, 𝑞, 𝑟) = (2, 4, 8)

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:32:05.709445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T09:32:05.642611Z digest=sha256:0fc1ed067ecadfc0bf74568eaa327c5e4ecbaf4f3ea25ed63dde41a63f792b2a

Observation 44c6f379-f0f7-4f2d-9740-0aaeb5d6da31 · outbound

This paper cites an unresolved cited work.

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-05-15T09:32:05.715481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T09:32:05.642611Z digest=sha256:10e967d093ab64151b23220f5d91daa5f5e86a2e937a019ac3ec856804fa44c2

Observation 9062c9ff-4779-483d-b539-e2ce3bfccae1 · outbound

This paper cites − ‘Function.Periodic W N‘means ‘∀ z, W (z + N) = W z‘.

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition − ‘Function.Periodic W N‘means ‘∀ z, W (z + N) = W z‘

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:32:05.724418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T09:32:05.642611Z digest=sha256:273b901a54652755b62a3f9f1ef8f9936f6d08acd4ec0ca9616173181b834dfd

Observation 942e0cc4-7f57-43a3-8414-db9d88fc8c69 · outbound

This paper cites − In Lean, ‘appears W U‘is defined as ‘∃ k, ∀ i : Fin U.1, U.2 i = W (k + i)‘.

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition − In Lean, ‘appears W U‘is defined as ‘∃ k, ∀ i : Fin U.1, U.2 i = W (k + i)‘

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:32:05.730270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T09:32:05.642611Z digest=sha256:5d91aee82001409df3705cb2d2fbb144aa9501609055c3a18cddb7dcf8c202b9

Observation 918c482e-baf7-4643-8250-64f0d6defea3 · outbound

This paper cites However, the Lean problem is slightly different.

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition However, the Lean problem is slightly different

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:32:05.736422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T09:32:05.642611Z digest=sha256:d55403160728a79f8483dfeb357c387e8e7a602c4957e5cf03aebddaec26b9ac

Observation 3dd49a5d-dc35-4907-ac9e-639d4986ddca · outbound

This paper cites an unresolved cited work.

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-05-15T09:32:05.741744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T09:32:05.642611Z digest=sha256:9b0b1ed14fb85b835c4fdefa95b4595f696a9d3dcdf972e1211f24bc5fd42293

Observation 53b83ea8-d5aa-4a25-b254-2c01d41f3f4e · outbound

This paper cites The minimality of ‘N‘is given by ‘hW’‘,but the condition ‘N > 2𝑛‘is only ‘2 ^n.1 < N‘ (‘n.1‘is the 35 underlying ‘N‘of ‘n : N+‘).

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition The minimality of ‘N‘is given by ‘hW’‘,but the condition ‘N > 2𝑛‘is only ‘2 ^n.1 < N‘ (‘n.1‘is the 35 underlying ‘N‘of ‘n : N+‘)

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:32:05.747550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T09:32:05.642611Z digest=sha256:a88a2564b56df3796c119044d1a31448700a4a509e9a76ead0563b6abd5c7a35

Observation 02ca88b7-46fd-4046-b7d3-bfd6090839cd · outbound

This paper cites We can find one ubiquitous word and map all ‘i : Fin n‘to it.

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition We can find one ubiquitous word and map all ‘i : Fin n‘to it

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:32:05.754066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T09:32:05.642611Z digest=sha256:e8d93ff7413c0838d1e1d094710d5527cb88589176c9f5235651761b1c1cfea0

Observation f5e64241-98a8-4567-b8bd-3450f49b492b · outbound

This paper cites − Alternative: Pick ‘U‘to be the length−1 word ‘[a]‘.But we need to verify its ubiquity in ‘W‘.

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition − Alternative: Pick ‘U‘to be the length−1 word ‘[a]‘.But we need to verify its ubiquity in ‘W‘

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:32:05.758578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T09:32:05.642611Z digest=sha256:4a7c949d0b298e3358a350109d6f88c3602fc2fffc6f5fe048175ed8cc1d527e

Observation 4f06e584-ad43-45c1-8a4d-7e04752ef2f9 · outbound

This paper cites an unresolved cited work.

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-05-15T09:32:05.763508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T09:32:05.642611Z digest=sha256:0bdd6eabe97f9078c6205e821a0d0734153cb9c31697c70f72e4fc2a9a0ecb25

Observation 5a662b3f-a23c-4244-bbac-3250f2ff5fef · outbound

This paper cites an unresolved cited work.

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-05-15T09:32:05.768411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T09:32:05.642611Z digest=sha256:8081d45a0c96aea138c72f9e58639e298e41b552845575ea0d4982e1205e7293

Observation 0a260b27-ce26-493c-b404-f3c14c8f859d · outbound

This paper cites − But to show ‘Ua‘appears, we need ‘∃ k, W (k + 0) = W 0 ∧ W (k + 1) = 0‘.

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition − But to show ‘Ua‘appears, we need ‘∃ k, W (k + 0) = W 0 ∧ W (k + 1) = 0‘

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:32:05.772647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T09:32:05.642611Z digest=sha256:b40b493c626bcb810d436d5f5ecef81887d4b53c34d5ac709e86a0c041a105c3

Observation 11ebd038-3c86-401a-83fb-cf433c9fe1b4 · outbound

This paper cites an unresolved cited work.

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-05-15T09:32:05.777235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T09:32:05.642611Z digest=sha256:1fa19737f73426316d50a4001241696aa42e798170c4ec52bb28a9c882570d46

Observation 6748d2f8-5ec0-478c-86e4-9f08f2b8892b · outbound

This paper cites However, ‘N’ = 1‘is possible (if ‘N > 1‘),but ‘W‘cannot be periodic with ‘N’ = 1‘,as there are only two possible ‘W‘s (both constant), but ‘hW’‘forbids this.

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition However, ‘N’ = 1‘is possible (if ‘N > 1‘),but ‘W‘cannot be periodic with ‘N’ = 1‘,as there are only two possible ‘W‘s (both constant), but ‘hW’‘forbids this

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:32:05.781567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T09:32:05.642611Z digest=sha256:75ec7cbe625382352ee4dce11bd1d171760b18566f5d9c84c4182cf4a40c931e

Observation 962cd3e9-6d67-47ff-8179-866b56c9c70c · outbound

This paper cites an unresolved cited work.

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-05-15T09:32:05.787707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T09:32:05.642611Z digest=sha256:ddb346ae3ba693b9eb805d4ee71939b46b06056c43859613701aa117efa429bf

Observation 1f8613fc-a045-42ba-b852-566cf848f7d3 · outbound

This paper cites an unresolved cited work.

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-05-15T09:32:05.792183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T09:32:05.642611Z digest=sha256:3953a99b283713f5d48a1164dff54c18a667c559ea30c04fd2018b1f015e6399

Observation 1bbf4426-24d9-46d3-bd05-781c865b18a0 · outbound

This paper cites an unresolved cited work.

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-05-15T09:32:05.796378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T09:32:05.642611Z digest=sha256:1935c56f0055b8ee8177c7774b71a490363e3a792ab5db8a4a42ec7c5efdc964

Observation 039c4147-d7b2-479b-8239-d9e542ef95b4 · outbound

This paper cites an unresolved cited work.

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-05-15T09:32:05.800760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T09:32:05.642611Z digest=sha256:40519afd44b9d78c42d095f077a9f3815caaf219500c74d3d334fd72e855fb9a

Observation 462a4558-656b-468f-ac41-1820973be1fd · outbound

This paper cites an unresolved cited work.

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-05-15T09:32:05.804632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T09:32:05.642611Z digest=sha256:8f0687013a580a6603c763a8d238669864332a1058d376dcdb77a91f72f78e5c

Observation 0679be1c-4174-4c25-ac9a-d82726c83b3c · outbound

This paper cites But to actually prove ‘ubiquitous W (x i)‘,we need to prove ‘appears W ⟨2, _⟩‘,etc., but we can derive ‘false‘from ‘hW’ 0‘.

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition But to actually prove ‘ubiquitous W (x i)‘,we need to prove ‘appears W ⟨2, _⟩‘,etc., but we can derive ‘false‘from ‘hW’ 0‘

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:32:05.808613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T09:32:05.642611Z digest=sha256:053e408c9494c005afd1a9a26ad72eb16c5bca4eed3ab1af5cb20e3d0280ca22

Observation 1c45c079-6691-470b-9438-ac4ed90f25e5 · outbound

This paper cites an unresolved cited work.

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-05-15T09:32:05.812064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T09:32:05.642611Z digest=sha256:c8738fcbfc7b9afe4799711deeacfbef00d2b664c81f323d34ce8e9cc666d846

Observation d568fc49-856f-4c1e-9d11-10c2a6d149f4 · outbound

This paper cites an unresolved cited work.

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-05-15T09:32:05.815521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T09:32:05.642611Z digest=sha256:5a44155cb7a6615c2d627235fbf333cf53aab518166adf679fb0dc9372f88231

Observation ba03c935-b7cf-4e32-a0dc-ee5ffd7d6c02 · outbound

This paper cites an unresolved cited work.

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-05-15T09:32:05.818320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T09:32:05.642611Z digest=sha256:a27d20eaf499599b32a859bb877127e30328662cf5f42f83d610225f7ccfcc0f

Observation bd71f01b-d678-40a4-b0e8-00a14edf65d6 · outbound

This paper cites an unresolved cited work.

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-05-15T09:32:05.821329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T09:32:05.642611Z digest=sha256:b20c0809ca2cef461239d91409c9744a9101fe2533426766e8a35a916d2a2644

Observation 9df32205-ca7a-40ff-9b23-842ef42cf0ba · outbound

This paper cites ‘is ‘false‘.

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition ‘is ‘false‘

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:32:05.824600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T09:32:05.642611Z digest=sha256:2eca6a1cf977f34e319457fb16a9865030f5d3246714b5f12ba280df4dca3e08

Observation 2ec5696d-3a7e-4694-a292-a0764800d46a · outbound

This paper cites − ‘hW’ 0‘requires ‘0 <N‘,which is ‘Nat.pos_of_ne_zero (by linarith)‘.

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition − ‘hW’ 0‘requires ‘0 <N‘,which is ‘Nat.pos_of_ne_zero (by linarith)‘

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T09:32:05.827937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T09:32:05.642611Z digest=sha256:50fd63744d55a0b7ba0f952193f71f6e32203847f8632c555f310c0cde4620ca

Observation 387cf129-125b-442f-a7c4-3f1f9e555cb4 · outbound

This paper cites an unresolved cited work.

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-05-15T09:32:05.830713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T09:32:05.642611Z digest=sha256:db787709448c6abc776fc706f900820fcadfb720d2108b77265cbcef9e6caa0f

Observation 09422e88-5ef8-444b-b940-eb39b238387c · outbound

This paper cites an unresolved cited work.

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-05-15T09:32:05.833426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T09:32:05.642611Z digest=sha256:4f886ecbe07277b275b080348d0baf3924e667cf35fc25684c994edad8f34ab3

Observation 01905206-7938-4ec6-bdfd-87771355980c · outbound

This paper cites an unresolved cited work.

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-05-15T09:32:05.836516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T09:32:05.642611Z digest=sha256:aef0b8ef2a934aa8f728cc10d4b0868d878387c3a1c62b7293d86caa0524f32c

Observation 66e8be64-20bb-404d-ac74-30a64a39e8c9 · outbound

This paper cites an unresolved cited work.

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-05-15T09:32:05.839675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T09:32:05.642611Z digest=sha256:bcb5d5e016f1d244d581fa336e88552a5efe264da22382ce32deb70e073c52aa

Observation 46592bba-fa7b-4c96-8715-21c53785b124 · outbound

This paper cites an unresolved cited work.

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-05-15T09:32:05.842598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T09:32:05.642611Z digest=sha256:ff5b1a56db7b2cde1cba11e4421d08d6d55df3ab3f86cde706b0d937611cb64f

Pith citing papers

Observation 16a59abc-42f5-4549-9af3-7f1087c77506 · inbound

LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead cites this paper.

LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:17.462875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:17.462875Z digest=sha256:516c4ad797d0b0a2a599d1e45c66a77ee49b5b83b8b2afdc6d0b66b360f9ca06

Observation 7699b73d-2bcb-4537-9c75-d39a5ff35452 · inbound

Get Experience from Practice: LLM Agents with Record & Replay cites this paper.

Get Experience from Practice: LLM Agents with Record & Replay DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T14:44:27.916339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:44:27.916339Z digest=sha256:52f7ca02808dd6cc46c37abac892e71db983d16f0b897d2d04a2c357bf386b0a

Observation d71a2600-48b4-461a-a572-f566abded776 · inbound

Formally Solving Answer-Construction Problems in Lean cites this paper.

Formally Solving Answer-Construction Problems in Lean DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T14:34:09.070593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:34:09.070593Z digest=sha256:b6a977613938f3f9dbff0e528b0819eb2e64787d7b1001100de4f132ed5b6442

Observation db86c0c5-dbad-4496-9254-00322d3c03c2 · inbound

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners cites this paper.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T13:57:21.614228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:57:21.614228Z digest=sha256:282a9ffe9809a7f2291a37c54c0580ce24757fb62373502bbcd4d680a179a205

Observation 941a534c-bd13-4c67-98ad-db85595ed584 · inbound

ASyMOB: Algebraic Symbolic Mathematical Operations Benchmark cites this paper.

ASyMOB: Algebraic Symbolic Mathematical Operations Benchmark DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T13:05:08.392578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:05:08.392578Z digest=sha256:5895bc869216da17812fe0cf4f88d7d906d08ad29b72c2aefa64dfa410252432

Observation 31878b51-7362-4a88-9ebf-dc0f0975886f · inbound

Rewarding the Unlikely: Lifting GRPO Beyond Distribution Sharpening cites this paper.

Rewarding the Unlikely: Lifting GRPO Beyond Distribution Sharpening DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T11:31:02.503634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:31:02.503634Z digest=sha256:62f14f6fc4d1464a91f76cdfc5f46e5e3c2687c9e0727c5827c41e681983aae0

Observation 975b78e7-bd62-4b63-be5b-a04e75c8c1de · inbound

LogicPuzzleRL: Cultivating Robust Mathematical Reasoning in LLMs via Reinforcement Learning cites this paper.

LogicPuzzleRL: Cultivating Robust Mathematical Reasoning in LLMs via Reinforcement Learning DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T10:36:35.764026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:36:35.764026Z digest=sha256:981b1b949dda937c376592bceba8ac27f8d7edeb778e16adec44c590538f8369

Observation 043df018-ce33-4d94-b359-2086772ec1a4 · inbound

MATP-BENCH: Can MLLM Be a Good Automated Theorem Prover for Multimodal Problems? cites this paper.

MATP-BENCH: Can MLLM Be a Good Automated Theorem Prover for Multimodal Problems? DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T06:08:25.882735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:08:25.882735Z digest=sha256:6d2fef72da0353c9218d3847bdfba8128b0d180347324c97275dab9734cec829

Observation b7394868-f82f-49dc-91be-a518ca073da1 · inbound

Mathesis: Towards Formal Theorem Proving from Natural Languages cites this paper.

Mathesis: Towards Formal Theorem Proving from Natural Languages DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T05:50:36.365465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:36.365465Z digest=sha256:99fb2ef1358ae45725dac203e3b180fde922eaaa18253dc72d13c2d3761437cd

Observation 83566a4e-e947-4855-b2e7-067d96b1a93f · inbound

Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning cites this paper.

Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-07T04:09:30.192563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:09:30.192563Z digest=sha256:771e5af53890b87279163e967a8aa0dc68788463faeb440de480c74c653d65da

Observation 6bcd8ab5-1d6d-4e7c-a914-6fff81596465 · inbound

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors cites this paper.

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T12:05:09.622559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:05:09.622559Z digest=sha256:de4ed461666d7f44cd9ed11c70a47577f13b7ec5a41a97b8a6ec029dd544bffc

Observation 73a06116-2ac6-4618-b759-3aea026e2c76 · inbound

LeanConjecturer: Automatic Generation of Mathematical Conjectures for Theorem Proving cites this paper.

LeanConjecturer: Automatic Generation of Mathematical Conjectures for Theorem Proving DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T22:17:28.743372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:17:28.743372Z digest=sha256:16f930693a4d962e0d7ea004f32c25cde39375db4a7a690046639b074a07d2fc

Observation 572c0208-3837-4f7e-aad1-a7642b453eb2 · inbound

Bourbaki: Self-Generated and Goal-Conditioned MDPs for Theorem Proving cites this paper.

Bourbaki: Self-Generated and Goal-Conditioned MDPs for Theorem Proving DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T20:27:36.352988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:27:36.352988Z digest=sha256:9bf516e3c7dac62904f08f56c5690e4cdde5a1771542876df37eacde63f97f82

Observation 51c20816-3ac2-4afe-b61a-b75474c14c7d · inbound

A Technical Survey of Reinforcement Learning Techniques for Large Language Models cites this paper.

A Technical Survey of Reinforcement Learning Techniques for Large Language Models DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-06T19:59:32.455482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:59:32.455482Z digest=sha256:a06468f65937c6bce5523971a0efa52453e6f547ccf8a668a065c7ba02877771

Observation 326cad8e-7764-4e78-a390-d9ad4364f253 · inbound

Towards Solving More Challenging IMO Problems via Decoupled Reasoning and Proving cites this paper.

Towards Solving More Challenging IMO Problems via Decoupled Reasoning and Proving DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T19:30:50.360329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:30:50.360329Z digest=sha256:d85d2c6d42b43b25cb8db3827d45f79ffa95152a2355f3b3746198d7108991ba

Observation 7eced525-cb3f-4139-8454-ca5b7659628f · inbound

Generalized Tree Edit Distance (GTED): A Faithful Evaluation Metric for Statement Autoformalization cites this paper.

Generalized Tree Edit Distance (GTED): A Faithful Evaluation Metric for Statement Autoformalization DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 1994

Resolution
unresolved
no resolver link, observed 2026-08-06T18:47:46.150927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:47:46.150927Z digest=sha256:7d672bd6c857699a8e98ab704530301ff203a6a0c438bb3182ef615be1300273

Observation 9352693f-2c72-4ee8-ad15-cd9e9659b92e · inbound

Leanabell-Prover-V2: Verifier-integrated Reasoning for Formal Theorem Proving via Reinforcement Learning cites this paper.

Leanabell-Prover-V2: Verifier-integrated Reasoning for Formal Theorem Proving via Reinforcement Learning DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T18:18:45.628122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:18:45.628122Z digest=sha256:3c27fb926dc8fa1e164ab11028e00304bb9d9aef28cf36eacc88367d5cd370db

Observation 24df5696-8668-46e2-8626-a19aa0985e6f · inbound

EduFlow: Advancing MLLMs' Problem-Solving Proficiency through Multi-Stage, Multi-Perspective Critique cites this paper.

EduFlow: Advancing MLLMs' Problem-Solving Proficiency through Multi-Stage, Multi-Perspective Critique DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T18:04:54.411784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:04:54.411784Z digest=sha256:2a3281c82e333dcad1c50806c46ab0f7106cea88d65000093a016518df4b2fc0

Observation d41b17fb-1fa5-4e31-81e6-4175d82a0f5c · inbound

LeanTree: Accelerating White-Box Proof Search with Factorized States in Lean 4 cites this paper.

LeanTree: Accelerating White-Box Proof Search with Factorized States in Lean 4 DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T15:54:12.216386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:54:12.216386Z digest=sha256:59764e7362119276607e14273c8c59cb880453075c1e8b2b1c3dbcf3abf0983d

Observation 6db52ad8-2058-43e8-811f-24c582ec5478 · inbound

WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization cites this paper.

WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-06T15:46:06.437495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:46:06.437495Z digest=sha256:0d92303eb0f758e561a18289b12041f2ad0d73dbd45bc4c86bb5c25e0c756add

Observation d6411b08-26cb-4ce9-abd7-6283c52494b4 · inbound

Re:Form -- Reducing Human Annotations in Scalable Formal Software Verification with RL in LLMs: A Preliminary Study on Dafny cites this paper.

Re:Form -- Reducing Human Annotations in Scalable Formal Software Verification with RL in LLMs: A Preliminary Study on Dafny DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T15:20:11.998704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:20:11.998704Z digest=sha256:b21a803b2389684af64f74186ea00ca1a0329fcc78a2b2548cde98734ee90141

Observation 6fe8bf6c-c3eb-4e22-9d20-3138787365f9 · inbound

StepFun-Prover Preview: Let's Think and Verify Step by Step cites this paper.

StepFun-Prover Preview: Let's Think and Verify Step by Step DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T13:47:36.134651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:47:36.134651Z digest=sha256:31520816335044e1ea0109e39f6b7a8b16387ed8cf75385d360630bb1795e45b

Observation c498b331-c24e-4ac8-80b9-bdde0b3f2b75 · inbound

Seed-Prover: Deep and Broad Reasoning for Automated Theorem Proving cites this paper.

Seed-Prover: Deep and Broad Reasoning for Automated Theorem Proving DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T10:30:44.655904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:30:44.655904Z digest=sha256:c52c7be51dbd957c2731fada1bfa3932fa5d70ec9bd9f0a1bc2f85bff933b4d4

Observation 3696b7a9-f62d-4b6b-af46-c5839ce51af8 · inbound

Visual-TableQA: Open-Domain Benchmark for Reasoning over Table Images cites this paper.

Visual-TableQA: Open-Domain Benchmark for Reasoning over Table Images DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-05-18T17:42:46.368756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-18T17:37:31.837022Z digest=sha256:bff8cb97ddaefea6cc94bf05a8c6fd9f23fddbe720f320862d9a8093842c90f8

Observation 1094d6de-c5be-4a26-946e-e76e5902705e · inbound

EngiBench: A Benchmark for Evaluating Large Language Models on Engineering Problem Solving cites this paper.

EngiBench: A Benchmark for Evaluating Large Language Models on Engineering Problem Solving DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-05-18T15:11:32.621963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T15:08:03.793304Z digest=sha256:1f6769dfbdf3241d97b0a9f13821ae5bedd7a45e408124fe325b8c04fb5d7905

Observation 497956d7-63ea-464f-8545-55c3d9be2d50 · inbound

Aristotle: IMO-level Automated Theorem Proving cites this paper.

Aristotle: IMO-level Automated Theorem Proving DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:32:05.843709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T08:51:37.827144Z digest=sha256:b3967bde366bb7d247704aa1deb4258f1a3823a692bbbddccfb127bf8207e3fd

Observation 9c8f8e65-f69a-4257-8983-eed7647268fe · inbound

Aria: An Agent For Retrieval and Iterative Auto-Formalization via Dependency Graph cites this paper.

Aria: An Agent For Retrieval and Iterative Auto-Formalization via Dependency Graph DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-04T11:31:39.335087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T11:31:39.335087Z digest=sha256:891527f23ec44b3bd8779300e402692c49f996027d7fbe1ace4c34b8be9d1c4d

Observation bf9f7d7b-a1b2-4b1b-9172-a0c6b95d5a48 · inbound

Ax-Prover: A Deep Reasoning Agentic Framework for Theorem Proving in Mathematics and Quantum Physics cites this paper.

Ax-Prover: A Deep Reasoning Agentic Framework for Theorem Proving in Mathematics and Quantum Physics DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 55

Resolution
metadata mismatch
local_arxiv, observed 2026-05-25T07:46:42.217034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-25T07:46:30.936002Z digest=sha256:bb1b55fa537b3648fd5b454a0401772f72e3c3d33e629dd583c34f5678735215

Observation 4c4f4155-107f-4702-bed7-c21e665bb296 · inbound

Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving cites this paper.

Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-04T06:40:25.685252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:40:25.685252Z digest=sha256:060080f279c5ad23590ca0c262f864f98eeec1a43a1cef5c93afad71b392bcb7

Observation 35ded620-cd47-4f27-8d83-1bace1c56e7e · inbound

Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models cites this paper.

Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 259

Resolution
verified exact
local_arxiv, observed 2026-05-16T12:40:54.818178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T12:39:57.398423Z digest=sha256:d7a7018df3e5f582bdd0ba376c44e5516c84f5f9b6a1eb79aa25b2b36f2ce14a

Observation e8e5813b-eb28-4e05-b35e-49d955d1df80 · inbound

A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula cites this paper.

A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-03T02:43:36.414740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T02:43:36.414740Z digest=sha256:9b82b49303caa3f4e2932061571b65ceef21a139e0bc1eb5e7c6b8f058f26a4d

Observation 6031c355-968e-4d3f-ba16-27125835b27e · inbound

Why Agentic Theorem Prover Works: A Statistical Provability Theory of Mathematical Reasoning Models cites this paper.

Why Agentic Theorem Prover Works: A Statistical Provability Theory of Mathematical Reasoning Models DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-03T01:09:04.664739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T01:09:04.664739Z digest=sha256:e71b6519468f875b3eac232c4743d6c509beacadde14ac9608b5692ba35982fd

Observation 84afb220-1ec8-49b2-95a6-1842e3c6496e · inbound

A Minimal Agent for Automated Theorem Proving cites this paper.

A Minimal Agent for Automated Theorem Proving DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-05-15T18:46:29.333804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T18:44:35.600033Z digest=sha256:380f4a417bb74355697ca75e03bceea1d6da0d50e538af74e7914c1bcb615245

Observation 14c79605-64cd-4c6c-b1bb-b4d00b86dab2 · inbound

How Your Credentials Are Leaked by LLM Agent Skills: An Empirical Study cites this paper.

How Your Credentials Are Leaked by LLM Agent Skills: An Empirical Study DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 17

Resolution
unresolved
no resolver link, observed 2026-07-13T13:34:41.548490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T13:34:41.548490Z digest=sha256:381c39de6dd7ea4a65d1190f236285cd62f811bec16acaaea2060100a0eb1c34

Observation 5796f9cb-2c97-4b47-a16b-f7ddbd9f47d3 · inbound

Automatic Textbook Formalization cites this paper.

Automatic Textbook Formalization DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:32:05.843709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T20:08:10.087342Z digest=sha256:996a3a13b976cf9174808e00ef3a29d8c13b238f717044dea2f9dcdbf8c2eb7d

Observation 74dd081d-8ffd-46f5-ae8d-8c9e824c30e5 · inbound

PROMISE: Proof Automation as Structural Imitation of Human Reasoning cites this paper.

PROMISE: Proof Automation as Structural Imitation of Human Reasoning DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:32:05.843709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T19:08:39.326721Z digest=sha256:7e5b875dd8bcbed109cf041f35811eb0112b63ff201912c0022ac49c17325ca3

Observation db93c35b-dfd9-40c0-82a7-c9ed2edcc694 · inbound

ProofSketcher: Hybrid LLM + Lightweight Proof Checker for Reliable Math/Logic Reasoning cites this paper.

ProofSketcher: Hybrid LLM + Lightweight Proof Checker for Reliable Math/Logic Reasoning DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:32:05.843709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T18:38:34.138545Z digest=sha256:45f3cb4fd977a618aea1fc508d30488f9a39b6fecd80fd56fdc2f459ebe047da

Observation d91de386-9705-4ba1-bce5-0f7b8072592b · inbound

Riemann-Bench: A Benchmark for Moonshot Mathematics cites this paper.

Riemann-Bench: A Benchmark for Moonshot Mathematics DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:32:05.843709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T18:02:42.607682Z digest=sha256:8102c390a04c3e20ef0f0ad519b69402b8c085d75d67e34791c8bf60f3016fd4

Observation ef3df8cd-e88a-41fd-83c8-a6d7b446a23a · inbound

SFT-GRPO Data Overlap as a Post-Training Hyperparameter for Autoformalization cites this paper.

SFT-GRPO Data Overlap as a Post-Training Hyperparameter for Autoformalization DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:32:05.843709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T13:21:52.225115Z digest=sha256:9c8df7f96f6aef58f9ac9b939c2c786eadeca747d8d67aabf09e7eae7b62987c

Observation eb5fd52a-625a-4668-a815-201d5cc6e2b0 · inbound

Lean Atlas: An Integrated Proof Environment for Scalable Human-AI Collaborative Formalization cites this paper.

Lean Atlas: An Integrated Proof Environment for Scalable Human-AI Collaborative Formalization DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-05-15T10:25:26.581139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T10:24:19.295736Z digest=sha256:c52fda68938c63c2fb983c38388cd925f99ce67cd8873dd17b02fc83de85580a

Observation ac89e161-7722-4d8b-a474-7ea001e09446 · inbound

AutoOR: Scalably Post-training LLMs to Autoformalize Operations Research Problems cites this paper.

AutoOR: Scalably Post-training LLMs to Autoformalize Operations Research Problems DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:32:05.843709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T07:02:02.992871Z digest=sha256:368bdc511c4151e9b3be70ac817527b29efdde28fd7668e3dd508988cc7210df

Observation a8fa9be7-4213-4117-a78d-77082c522288 · inbound

The Topological Dual of a Dataset: A Logic-to-Topology Encoding for AlphaGeometry-Style Data cites this paper.

The Topological Dual of a Dataset: A Logic-to-Topology Encoding for AlphaGeometry-Style Data DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:32:05.843709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T04:58:24.217267Z digest=sha256:87c2b1cd8d1f10a7783cf59188f404214b2b08b554d3e8df96ef0195f1a11dd6

Observation da21939e-35f8-4b57-8073-806c45da6a9c · inbound

The Topological Dual of a Dataset: A Logic-to-Topology Encoding for AlphaGeometry-Style Data cites this paper.

The Topological Dual of a Dataset: A Logic-to-Topology Encoding for AlphaGeometry-Style Data DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-07-05T14:31:09.366181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-05T14:25:18.768204Z digest=sha256:4ae8912e484ab20ab85bf8756c7adc3955c76334c2a9ebe5692bb2982ce2f153

Observation 01a1f574-2670-43e5-bd5c-c7470f777cc7 · inbound

On Reasoning-Centric LLM-based Automated Theorem Proving cites this paper.

On Reasoning-Centric LLM-based Automated Theorem Proving DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:32:05.843709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T02:26:38.719009Z digest=sha256:a723f4c229a273b60b539292d549d5df5ab58f3cfbc7e87b23b75513f59ec230

Observation cc26f690-c3fb-4be1-8759-1681d7e674a4 · inbound

Scaling Self-Play with Self-Guidance cites this paper.

Scaling Self-Play with Self-Guidance DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:32:05.843709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T01:31:06.090698Z digest=sha256:45c248f7295447462169d1ce7b6835983d8b4f2eebdbba26085762c6bb23d278

Observation 11c12d09-f606-41f3-82f1-58a6f2f5a555 · inbound

Characterizing Paraphrase-Induced Failures in Lean 4 Autoformalization cites this paper.

Characterizing Paraphrase-Induced Failures in Lean 4 Autoformalization DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T09:32:05.843709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T08:33:34.423179Z digest=sha256:0cf4e50b3fc76e545cb4ea05117aba45cb8cab5c9bce3d66f9e436835f97e0e5

Observation 93cae740-2149-4acf-b156-79845e1e6906 · inbound

Characterizing Paraphrase-Induced Failures in Lean 4 Autoformalization cites this paper.

Characterizing Paraphrase-Induced Failures in Lean 4 Autoformalization DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 9

Resolution
metadata mismatch
local_arxiv, observed 2026-05-21T00:53:53.719868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T00:49:58.959331Z digest=sha256:7f261a9c4de921ec16adc75a8da5ecb5e0f820706e1767e011c6a2daf0026786

Observation 21f975f1-c9ee-4d91-8915-d2ccfec90f15 · inbound

OptProver: Bridging Olympiad and Optimization through Continual Training in Formal Theorem Proving cites this paper.

OptProver: Bridging Olympiad and Optimization through Continual Training in Formal Theorem Proving DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:32:05.843709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T06:33:29.860024Z digest=sha256:7877358f128dffe65470b25fbf95dd629b34b26ab683a51c0602fee77049c360

Observation 47873721-a188-4231-abb5-84ae3a47c896 · inbound

Rewarding the Scientific Process: Process-Level Reward Modeling for Agentic Data Analysis cites this paper.

Rewarding the Scientific Process: Process-Level Reward Modeling for Agentic Data Analysis DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:32:05.843709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T03:47:34.897401Z digest=sha256:83d6dac2886f7b57c516a6fa9c61710d4b5e2284873f24b8df08c77c72df5d6f

Observation 1d8e9d55-7fd9-402c-9a5c-20293dec0e12 · inbound

Rewarding the Scientific Process: Process-Level Reward Modeling for Agentic Data Analysis cites this paper.

Rewarding the Scientific Process: Process-Level Reward Modeling for Agentic Data Analysis DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-07-01T09:15:42.678042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T09:13:20.071265Z digest=sha256:7ae3950134161412fd59dff7339f8ce55e9c07d53c293e5ee527e36631e2f394

Observation 4f714d01-07e8-46a1-b2b3-e750e0006da0 · inbound

Rethinking Agentic Reinforcement Learning In Large Language Models cites this paper.

Rethinking Agentic Reinforcement Learning In Large Language Models DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 73

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:32:05.843709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-07T06:30:09.945371Z digest=sha256:e6ad32a265a4d70d5f09644810f0639a83958ca2d86560b66caf47899d04b44d

Observation 9117c8d1-5535-45c7-9b55-e0faff05e736 · inbound

Rethinking Agentic Reinforcement Learning In Large Language Models cites this paper.

Rethinking Agentic Reinforcement Learning In Large Language Models DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 73

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:32:05.843709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T03:12:19.414358Z digest=sha256:fb8535e3d76a3e4f75994c9291d1cf92bd670e15b2b54a66892e18eceb65fcf7

Observation efcdb43b-725c-48a6-9129-06d39a053388 · inbound

Rethinking Agentic Reinforcement Learning In Large Language Models cites this paper.

Rethinking Agentic Reinforcement Learning In Large Language Models DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 73

Resolution
verified exact
local_arxiv, observed 2026-05-19T17:02:40.855299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T16:58:41.558250Z digest=sha256:5f083d735216925f9ec8d913fb3719a00268ebc36469c453ef51837e49c85d64

Observation 309e286b-1060-41a8-9a13-c0792668a66a · inbound

Evaluating the Architectural Reasoning Capabilities of LLM Provers via the Obfuscated Natural Number Game cites this paper.

Evaluating the Architectural Reasoning Capabilities of LLM Provers via the Obfuscated Natural Number Game DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:32:05.843709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-09T19:37:00.295270Z digest=sha256:22e3c2a18cef80693677a082ed16b75db24db3f667ed90c320f8853beae82504

Observation 01360585-78f3-44d5-900d-18cc2e0bbe41 · inbound

A Foundation Model for Zero-Shot Logical Rule Induction cites this paper.

A Foundation Model for Zero-Shot Logical Rule Induction DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:32:05.843709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T18:17:27.518712Z digest=sha256:b4e92e5a2cb2dcb60c22e00c6c9677734103f09ea29cf89bcbed9ecd071bc259

Observation 8ef879fd-645c-4af4-94d1-5c378a8b5327 · inbound

Teaching LLMs Program Semantics via Symbolic Execution Traces cites this paper.

Teaching LLMs Program Semantics via Symbolic Execution Traces DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:32:05.843709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T08:56:25.022619Z digest=sha256:c5997f1cce1d4d9fd53cbd641dc87f8b92bc0fbe6db96d365c539344658ea78a

Observation 97591a64-b215-4b22-a907-441454ae43c6 · inbound

AI co-mathematician: Accelerating mathematicians with agentic AI cites this paper.

AI co-mathematician: Accelerating mathematicians with agentic AI DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:32:05.843709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T09:31:55.315364Z digest=sha256:e97f88de87017c08387def3a47b77d2f060a8bdd0ca9116d62cad1890cf017a9

Observation f458de10-3105-4f78-ac17-4c0b7c036932 · inbound

AI co-mathematician: Accelerating mathematicians with agentic AI cites this paper.

AI co-mathematician: Accelerating mathematicians with agentic AI DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:32:05.843709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-14T21:04:57.852889Z digest=sha256:d00d05f06da8be9930b28180a11dc76cfe0054887d631a312fcc327e449d1786

Observation fdfc8914-c500-47be-9504-450b90d59b18 · inbound

Rethinking Supervision Granularity: Segment-Level Learning for LLM-Based Theorem Proving cites this paper.

Rethinking Supervision Granularity: Segment-Level Learning for LLM-Based Theorem Proving DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:32:05.843709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T06:07:29.492413Z digest=sha256:b276d8699810d6b40186843360c3f63e83d7680014ec32c6423215caf1a21901

Observation 77aefd6b-230a-448e-9e2f-7797630a4bbf · inbound

LeanSearch v2: Global Premise Retrieval for Lean 4 Theorem Proving cites this paper.

LeanSearch v2: Global Premise Retrieval for Lean 4 Theorem Proving DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:32:05.843709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-14T18:32:24.957899Z digest=sha256:ddd10c8d0c912a7e5b358725ed31cc73b30c4e4cf5eb9e02b448f3167325ecdd

Observation 9e0e3672-36f0-4dd8-a37b-bbe95c1dcc75 · inbound

LeanSearch v2: Global Premise Retrieval for Lean 4 Theorem Proving cites this paper.

LeanSearch v2: Global Premise Retrieval for Lean 4 Theorem Proving DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:32:05.843709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T03:05:04.196270Z digest=sha256:b00fc180562dfc697ea1e2147bd3f0c1e23548983559a10392b1bf3e4a8b7406

Observation 94d5ae5f-6e5a-49ca-a8aa-534298a9f1d5 · inbound

An Information-Theoretic Criterion for Efficient Data Synthesis cites this paper.

An Information-Theoretic Criterion for Efficient Data Synthesis DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 27

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T22:19:07.454354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T22:16:57.983741Z digest=sha256:d26f4f91d98667ce43a92dae63b1ea3caf16b2b723f376840b030e9290a97b8d

Observation 5b908888-0be7-486a-af0d-6f6af1ee0516 · inbound

CAM-Bench: A Benchmark for Computational and Applied Mathematics in Lean cites this paper.

CAM-Bench: A Benchmark for Computational and Applied Mathematics in Lean DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-05-20T13:38:19.316107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T13:35:04.729506Z digest=sha256:1d8cdaa5168d6b505863d7c9b99c8e28df46d8b7f8bbc37d2f4d506dd41269ee

Observation 7839fd4c-4833-4bce-a152-647a9e56916f · inbound

OProver: A Unified Framework for Agentic Formal Theorem Proving cites this paper.

OProver: A Unified Framework for Agentic Formal Theorem Proving DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 153

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T14:48:23.509542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T14:43:46.517807Z digest=sha256:cffaee8a4a653bf9cd11a810609e25be4ef5145be3f625fd28b617b433d3c325

Observation cdc54fab-8aca-4236-be74-d2fec9198d4b · inbound

Code as Agent Harness cites this paper.

Code as Agent Harness DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 87

Resolution
verified exact
local_arxiv, observed 2026-05-20T10:58:14.404450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T10:54:54.558241Z digest=sha256:581d937186b68ed37c31e78a8dd79dc438776c347450ee0425fac88bd85c59aa

Observation c7019bf0-8fb3-4e06-8e19-a595339e6948 · inbound

Lean Refactor: Multi-Objective Controllable Proof Optimization via Agentic Strategy Search cites this paper.

Lean Refactor: Multi-Objective Controllable Proof Optimization via Agentic Strategy Search DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-05-21T08:54:05.942283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T08:51:59.101930Z digest=sha256:d85850b3208479826d7bbf8eb1f2147f45b94663a008a05ba1901863a68ca38e

Observation 9ddb102f-4f61-4256-9ad9-a5aa249d03e9 · inbound

What are the Right Symmetries for Formal Theorem Proving? cites this paper.

What are the Right Symmetries for Formal Theorem Proving? DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-22T08:16:16.032813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T08:15:17.849584Z digest=sha256:52eaa9aff73bea02b1c6e86662e4fb5f3521ad67c76044de05c0081b05d1d124

Observation 04995df8-ac9a-4b50-96bc-67be7694be1b · inbound

Inductive Deductive Synthesis: Enabling AI to Generate Formally Verified Systems cites this paper.

Inductive Deductive Synthesis: Enabling AI to Generate Formally Verified Systems DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-05-25T04:55:23.719069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-25T04:52:06.456555Z digest=sha256:7d2b11fa380be768ceb66114ef84660039426ded6b7edabc9078d54e0d0bb447

Observation d7200234-a8fc-4d4a-bd94-81b12fd08f97 · inbound

Agentic Proving for Program Verification cites this paper.

Agentic Proving for Program Verification DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-05-25T04:05:20.691403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-25T04:02:22.170884Z digest=sha256:e9f8c665773ee9db78e6feaaa548786bd17ef0676463f894b1e17e5ea7c3f67c

Observation 58317d4d-158d-4d67-9c29-63bb649071d5 · inbound

Automating Formal Verification with Agent-Guided Tree Search cites this paper.

Automating Formal Verification with Agent-Guided Tree Search DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 88

Resolution
metadata mismatch
local_arxiv, observed 2026-06-29T15:03:31.396907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T14:54:59.333847Z digest=sha256:87975b8ab24b1e6ba8086b237aeb0d618152b49da6c28d56c567a432277682cf

Observation 6484958a-1ed9-42ab-874a-7ce6ea921d82 · inbound

Formalizing Mathematics at Scale cites this paper.

Formalizing Mathematics at Scale DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-06-29T07:53:14.275325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-29T07:35:06.858835Z digest=sha256:8bc35d6a5a6d682736b96c3503327be6d49d9f9f4676882a169cdcf6d39fe867

Observation de19684e-c6b9-44e7-8108-2a58999dda17 · inbound

Automating Formal Verification with Reinforcement Learning and Recursive Inference cites this paper.

Automating Formal Verification with Reinforcement Learning and Recursive Inference DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 36

Resolution
metadata mismatch
local_arxiv, observed 2026-06-28T23:52:48.513642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T23:52:36.891080Z digest=sha256:709a1f8a62192dd34f4ab6d560834050b0f97e93ea5862cc6ef9c4cbce095159

Observation 71bd568d-f9dd-4644-9c87-3e08c20c4912 · inbound

Automating Formal Verification with Reinforcement Learning and Recursive Inference cites this paper.

Automating Formal Verification with Reinforcement Learning and Recursive Inference DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 113

Resolution
metadata mismatch
local_arxiv, observed 2026-06-28T23:52:48.455134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T23:52:36.891080Z digest=sha256:36fa8c9349cc26f2ad1ab70bb2b5b4fa2499ed7fd64a40a8883b27aebd792638

Observation 13dae746-6f3c-4660-b30f-a23ffa35a311 · inbound

FVSpec: Real-World Property-Based Tests as Lean Challenges cites this paper.

FVSpec: Real-World Property-Based Tests as Lean Challenges DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-07-01T21:26:14.009383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T17:05:13.012431Z digest=sha256:83b563edca60b426c6745d1b5a6b85b3a09f4626d3e598309d1dde5f83568fb2

Observation 2b3492df-7424-40cd-a5c9-1f76af786000 · inbound

Lean-GAP: A Dataset of Formalized Graduate Algebra Problems cites this paper.

Lean-GAP: A Dataset of Formalized Graduate Algebra Problems DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 23

Resolution
metadata mismatch
local_arxiv, observed 2026-06-30T17:34:57.537144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T17:32:00.411535Z digest=sha256:bcc3e51e124a2aebe674dc81bea16d19fa7f846a9e537c15b34e11325683c0be

Observation f7ae0dd6-dede-427a-b05b-986df4329681 · inbound

Characterizing initial human-AI proof formalization workflows cites this paper.

Characterizing initial human-AI proof formalization workflows DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-07-02T04:06:34.808717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-28T09:29:50.282874Z digest=sha256:8685f508e270ac741820bd217940c32b68d11244b93f604e04a2a77486ac03ea

Observation 6976cfee-f027-4e24-8c54-e711c7cea2d0 · inbound

Optimizing the Cost-Quality Tradeoff of Agentic Theorem Provers in Lean cites this paper.

Optimizing the Cost-Quality Tradeoff of Agentic Theorem Provers in Lean DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-06-28T06:11:42.507562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-28T06:01:44.894830Z digest=sha256:0f3cb72677b74e42ffaaf53372ad18bed7b3bfc3b8193fa5cc068e8d0a90ffa7

Observation 4446a5e1-8933-4117-968e-82188fc01870 · inbound

LeanMarathon: Toward Reliable AI Co-Mathematicians through Long-Horizon Lean Autoformalization cites this paper.

LeanMarathon: Toward Reliable AI Co-Mathematicians through Long-Horizon Lean Autoformalization DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-07-02T08:36:48.815545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T05:48:56.691155Z digest=sha256:0b2d37e27767c0b993f95db54ac3c7068bd449340f6080c091a0ca45a7a38696

Observation 491144a0-c85c-4a0b-951e-0f68e17bcbea · inbound

Goedel-Architect: Streamlining Formal Theorem Proving with Blueprint Generation and Refinement cites this paper.

Goedel-Architect: Streamlining Formal Theorem Proving with Blueprint Generation and Refinement DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-07-02T13:46:59.594395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T00:59:54.485343Z digest=sha256:a92cda9aee19869f445001e85a76047f3495642dcd0d7be407b8f6f1409d1b1b

Observation 6c0acbff-3ad6-4808-ac7b-004230e4ec35 · inbound

Artificial Intelligence for Mathematical Reasoning: An Integrated Survey of Language Models, Neuro-symbolic Systems, and Verified Discovery cites this paper.

Artificial Intelligence for Mathematical Reasoning: An Integrated Survey of Language Models, Neuro-symbolic Systems, and Verified Discovery DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 79

Resolution
verified exact
local_arxiv, observed 2026-07-02T22:47:25.951772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T18:39:44.696961Z digest=sha256:83323317081d722f515ec28a12628d8a4f082201019f1699efe650722305673f

Observation 04351d9b-5ddc-43b2-939e-d4386a024fcd · inbound

Artificial Intelligence for Mathematical Reasoning: An Integrated Survey of Language Models, Neuro-symbolic Systems, and Verified Discovery cites this paper.

Artificial Intelligence for Mathematical Reasoning: An Integrated Survey of Language Models, Neuro-symbolic Systems, and Verified Discovery DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-02T12:05:10.293322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:05:10.293322Z digest=sha256:27e6a42557613866c9d8e582b6d05e575a65f2089d6ca2725f05d40f92ca5caa

Observation eccec2fe-e0dd-4937-80c4-44a01e78e64c · inbound

TheoremBench: Evaluating LLMs on Theorem Proving in Formal Mathematics cites this paper.

TheoremBench: Evaluating LLMs on Theorem Proving in Formal Mathematics DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-07-03T01:47:31.596629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T16:19:11.123994Z digest=sha256:e04edaf312fa86958fe0440169802fbb4f869d8fbcd21b908cb66bce7d9cdb77

Observation b91fbffd-2174-485a-81a6-7a1b7187be04 · inbound

Bridging Scales: Asymptotic Analysis and AI-Assisted Formalization cites this paper.

Bridging Scales: Asymptotic Analysis and AI-Assisted Formalization DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-07-03T03:27:35.699068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T15:20:07.005690Z digest=sha256:104ee27e84e1a5ec49c0bdf963383a90d621cdb28f8f87f821e316be71a706f4

Observation 4329fdd4-e9e8-49d0-bae4-c007d2fb2356 · inbound

Nothing from Something: Can a Language Model Discover 0? cites this paper.

Nothing from Something: Can a Language Model Discover 0? DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-06-27T03:30:27.030482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T03:23:19.093035Z digest=sha256:17f581c19c55885a45c31fe139567dae9ea16ecb298d7a92aec56c067a75db0b

Observation d85794fd-4363-407f-8275-92c401923932 · inbound

Visored: A Controlled-Natural-Language Prover for LLM-Generated Mathematics cites this paper.

Visored: A Controlled-Natural-Language Prover for LLM-Generated Mathematics DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-07-03T23:19:04.422382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T22:23:42.299674Z digest=sha256:6ae89be75908461491aab6f61da3972dd09d6bbdc598a3d1b57e33704a6a9e4f

Observation 4aa0f7c2-b8dc-4b57-9076-241d11bd9acd · inbound

Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory cites this paper.

Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-07-02T08:36:48.557446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T05:52:05.192897Z digest=sha256:623ea0e432068ec3bf42d25ec2ebcd264d8dc5ed5bc4ccdde0a6f2d9fbc651ff

Observation ddec1d60-b68c-4264-8926-f9113b25642a · inbound

Group-Graph Policy Optimization for Long-Horizon Agentic Reinforcement Learning cites this paper.

Group-Graph Policy Optimization for Long-Horizon Agentic Reinforcement Learning DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-07-04T10:29:45.781534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T08:44:23.085858Z digest=sha256:fedf3dc81f9c39728199f11f1a59e87e47e2f0557ca2aaf944194001bae0dbbb

Observation b4308c4f-751b-4a2a-917f-85a55de8d275 · inbound

Statistical Proof as a Window into Human-AI Collaboration: Practical Insights and a Community Agenda cites this paper.

Statistical Proof as a Window into Human-AI Collaboration: Practical Insights and a Community Agenda DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-07-04T15:19:56.600442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T01:44:07.592041Z digest=sha256:468bbe2fea7e187a1155b94e4677e99c555834ebeebda1cd6f04eeff012c66c9

Observation d86c28e6-703c-4336-9572-292c131aad04 · inbound

Closing the Loop: Formally Verified Law as a Reward Signal for Self-Improving Legal AI cites this paper.

Closing the Loop: Formally Verified Law as a Reward Signal for Self-Improving Legal AI DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T10:39:45.204324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T08:39:23.985069Z digest=sha256:40eccdccb7ede4d3c8ad8362dd083231a214b4e899c5ae8235cb21aff8cdfb59

Observation bd18083a-9fa2-4636-ba26-0855b00d382c · inbound

Verifiable Auto-Formalization of Mathematics Using a Relaxed Natural Formal Language cites this paper.

Verifiable Auto-Formalization of Mathematics Using a Relaxed Natural Formal Language DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-07-04T19:10:04.228911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-25T21:59:02.948726Z digest=sha256:eea3538ad7831ecb5654f32fb779a798d0dbdacc8c2e787a2f23735119c89aef

Observation 1c682fa0-8908-4ea1-87fe-f82e413664c0 · inbound

AXLE: A Cloud Infrastructure for Lean 4 Theorem Proving Utilities cites this paper.

AXLE: A Cloud Infrastructure for Lean 4 Theorem Proving Utilities DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 20

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T16:39:57.365480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-26T00:26:02.757706Z digest=sha256:08cdbefe2a4cc6e8870894ae20116143624c35644cdb41767824be19bd659d94

Observation f62b03e4-0cd4-4201-bb71-32d6a33a3036 · inbound

LAMP: Lean-based Agentic framework with MCP and Proof Repair cites this paper.

LAMP: Lean-based Agentic framework with MCP and Proof Repair DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 30

Resolution
metadata mismatch
local_arxiv, observed 2026-06-30T08:44:27.813863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T08:35:40.617232Z digest=sha256:249cb3df8255c2d540f1f4ecfa1b0552ec3751ce15e0e72e125615fe1867f924

Observation b1469add-bb9b-44e1-8123-6f8bad6e37bc · inbound

A Machine-Verified Proof of a Quantum-Optimization Conjecture cites this paper.

A Machine-Verified Proof of a Quantum-Optimization Conjecture DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-06-30T06:44:19.008386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T06:40:20.723937Z digest=sha256:02fed1b5424b28984705bba3b289b5e1191008796ccb1863078e98f67e19a8b7

Observation ac70ecbe-1c52-4c4c-9ef3-3a4d18174d67 · inbound

Beyond Compilation: Evaluating Faithful Natural-Language-to-Lean Statement Formalization cites this paper.

Beyond Compilation: Evaluating Faithful Natural-Language-to-Lean Statement Formalization DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 30

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T13:15:45.386875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-01T00:58:00.053021Z digest=sha256:c37508b93ab374c965e1edb4e507a156a73e656f18d1d1023113614c43072461

Observation 41c6a0f1-ecb5-44ce-9a8d-e821350c674c · inbound

Beyond the Library: An Agentic Framework for Autoformalizing Research Mathematics cites this paper.

Beyond the Library: An Agentic Framework for Autoformalizing Research Mathematics DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-07-01T10:05:40.913251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T05:54:51.200436Z digest=sha256:cf00d287611c52968af470d8076a01b0c16fd33d0a25dd0fcc78128166d3bee8

Observation 99c461bc-50a1-43cd-a292-38f8d45a528b · inbound

Beyond the Library: An Agentic Framework for Autoformalizing Research Mathematics cites this paper.

Beyond the Library: An Agentic Framework for Autoformalizing Research Mathematics DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-07-03T22:39:01.160840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-03T22:34:08.241014Z digest=sha256:3613b074af479deb141ec8491d733454a7f27797e1cd36e2f746765e01e00222

Observation 698677e8-6876-4d31-a43f-8cd631742f87 · inbound

ShannonProver: Towards Automating Formal Cryptographic Proofs cites this paper.

ShannonProver: Towards Automating Formal Cryptographic Proofs DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 42

Resolution
unresolved
no resolver link, observed 2026-07-12T06:39:03.623110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T06:39:03.623110Z digest=sha256:fa539e484c334efeb6f7d75bcc99743e7e2db95d288ebf1c9df2f51b0872e22a

Observation b5397b0a-5646-4969-8210-414eda162ac4 · inbound

Neuro-Symbolic Reasoning for Vulnerability Detection cites this paper.

Neuro-Symbolic Reasoning for Vulnerability Detection DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 35

Resolution
unresolved
no resolver link, observed 2026-07-11T22:42:57.965190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T22:42:57.965190Z digest=sha256:b2d6be7469c900736f81f33d4b0b8803399e49bfbe50bec9b58d9569260482b5

Observation c373bec5-e403-4bba-a02a-6f0eb3b60b97 · inbound

FormalRx: Rectify and eXamine Semantic Failures in Autoformalization cites this paper.

FormalRx: Rectify and eXamine Semantic Failures in Autoformalization DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 129

Resolution
unresolved
no resolver link, observed 2026-07-11T15:42:50.296348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T15:42:50.296348Z digest=sha256:304652e304b6181cde666fe6421cb986493216a51b00da735dd630f0c1a0863c

Observation 65c11749-52b5-47c5-b460-7b017ba0a87f · inbound

SCOPE: Leveraging Subgoal Critiques for Code Generation cites this paper.

SCOPE: Leveraging Subgoal Critiques for Code Generation DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-07-08T23:45:43.221353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-08T23:39:03.204195Z digest=sha256:7db5f0fd915986ac69d6199b46a87c8ecb5b3281c23785fb30abddc753131bae