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Paper Citation Record · LEDGER

Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents

As of 18 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 8 inbound Pith citation observations for arXiv:2501.00430.

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

pith.paper-citation-record.v1
2501.00430 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:54:58.005476Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:00:53.720119Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T15:14:25.975710Z

Reference resolution

39 of 39 outbound references displayed

  • verified exact1
  • verified fuzzy5
  • unresolved33
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d83538f6-a174-4ed6-b01a-39f405e23bb2 · outbound

This paper cites an unresolved cited work.

Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:54:58.407872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:54:57.867855Z digest=sha256:a8db1297387fe7d232682a79c28a30c29c7c149f246c04be0cad8b9442ba8fb9

Observation fcbba53b-ef8c-45eb-a84d-c03d44f54b9a · outbound

This paper cites Zhang, F.

Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents Zhang, F

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:54:58.397703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:54:57.872370Z digest=sha256:1585b1dd2398f1d5d8d6e07823c660e1fb9e05c060336b85e61c435efb03fedd

Observation a74cba1a-7b8f-4e17-8710-9ef20824995a · outbound

This paper cites Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate.

Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T22:54:57.875910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:54:57.875910Z digest=sha256:bfadf015d6cac12bc016bc72e8566704ece3223246900158e908809e6995d236

Observation 25d94fd6-839a-4944-b7bc-9aaee3982bf5 · outbound

This paper cites Let's Do a Thought Experiment: Using Counterfactuals to Improve Moral Reasoning.

Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents Let's Do a Thought Experiment: Using Counterfactuals to Improve Moral Reasoning

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T22:54:57.880558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:54:57.880558Z digest=sha256:e81774f2f6a7ccb2f61d14d662bebab9b4d22e94847785f04314d762066147bf

Observation 6dff3290-9304-4054-82d1-235d81b73259 · outbound

This paper cites Skin-in-the-Game: Decision Making via Multi-Stakeholder Alignment in LLMs.

Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents Skin-in-the-Game: Decision Making via Multi-Stakeholder Alignment in LLMs

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:54:58.235193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:54:57.884412Z digest=sha256:524900dfc0406761addc340bad5bb174988f98bc6465fde662f3462437137e23

Observation 988e8af1-98d4-4d91-be32-defde3f8a10e · outbound

This paper cites Madaan, N.

Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents Madaan, N

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:54:58.387956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:54:57.889315Z digest=sha256:4326f7696eba0c0c1e1c7fa393a99919a6c0f74816a962eb786c5ef75e2d213c

Observation e83d3211-15bd-4a9c-a2ed-b2aee7e4ce76 · outbound

This paper cites Brown, B.

Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents Brown, B

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T22:54:57.892974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:54:57.892974Z digest=sha256:e9691a664bc315c8dc4e63d5acef14c0d8c08effa899608d6633167fcbc06523

Observation 05c2c8e9-5698-40ca-846f-b28cd3073fcf · outbound

This paper cites Huang, W.

Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents Huang, W

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:54:58.371498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:54:57.896781Z digest=sha256:7b7f7010ef8f96a80260e316d74621faf0dbfbe7242098293bae51d6c08ebfd8

Observation 1a33198a-bb98-4e3b-917c-fce494052577 · outbound

This paper cites an unresolved cited work.

Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:54:58.359859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:54:57.900212Z digest=sha256:a31489c57993e65e74c3ea572954976be12e8d1556ec02adc8421e34609a304f

Observation d1f0788f-0353-437d-b87a-8a0136c3fe54 · outbound

This paper cites SELF: Self-Evolution with Language Feedback.

Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents SELF: Self-Evolution with Language Feedback

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T22:54:57.903331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:54:57.903331Z digest=sha256:216af75569b2008984d4f8e8b8aea658375b720a7627e339419ca40ae170d698

Observation fe8b6889-b8b0-4ee5-800b-37b2a6881d2a · outbound

This paper cites LLMs can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought.

Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents LLMs can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought

Reference 11

Resolution
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no resolver link, observed 2026-08-10T22:54:57.906766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:54:57.906766Z digest=sha256:20dca101252a8337e409fdd8fc523f34a59516ff80795078779637e76b8a2eb3

Observation 1509c257-092a-4fb8-aa11-438a42259165 · outbound

This paper cites Shinn, F.

Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents Shinn, F

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:54:58.350256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:54:57.910526Z digest=sha256:19add74cc64bacfeb8204441a6a6e7ec7feb70c3cfc0e996c390fe9ed478dadb

Observation 92f7b746-2426-4e94-bd58-92c0bb1f5bf2 · outbound

This paper cites an unresolved cited work.

Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:54:58.339026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:54:57.913251Z digest=sha256:15d535aa2f415f5a3f2cdb8101ac475a7648c5971bb647769cc4a861f72809f2

Observation d8b5ec82-975c-463f-8f58-4a7f394879c7 · outbound

This paper cites Kahneman, Thinking, fast and slow, Farrar, Straus and Giroux (2011).

Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents Kahneman, Thinking, fast and slow, Farrar, Straus and Giroux (2011)

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:54:58.327260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:54:57.916717Z digest=sha256:55fd1dc56691e9abc320059ff776ce7e46d898d38d60511d4ff821d2f71ad65b

Observation fa98ca6b-d75e-45be-a0e1-abcd66e85182 · outbound

This paper cites an unresolved cited work.

Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:54:58.315239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:54:57.920109Z digest=sha256:ba7d707feef0c0e5a88690e8b9ffe0428a0df772c91e50abb7c0ee6f6563f166

Observation 6e6b9afc-dbac-441d-baba-b93676043bd0 · outbound

This paper cites Agents Thinking Fast and Slow: A Talker-Reasoner Architecture.

Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents Agents Thinking Fast and Slow: A Talker-Reasoner Architecture

Reference 16

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no resolver link, observed 2026-08-10T22:54:57.923399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:54:57.923399Z digest=sha256:5f9437d01f05d6c00c4ecf43347941a05da69ab4168bd137c6058b11d71c5149

Observation ce50fe47-0682-43a2-a570-90c9a5b95435 · outbound

This paper cites an unresolved cited work.

Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents Unresolved cited work

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T22:54:57.926900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:54:57.926900Z digest=sha256:4f0543d27238423c7f5fcf3ae3a034c0b3a19ae82e22088db3484ffa17881a54

Observation 80fb244d-fae2-43d9-b90f-0d5c0ada72b7 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T22:54:57.930435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:54:57.930435Z digest=sha256:777600dbee026013b53be76b5b046835f53f84a3aa0398539f5f8a0a54c82dd7

Observation dd8d5742-f124-46a6-8b35-fc331d615250 · outbound

This paper cites Self-critiquing models for assisting human evaluators.

Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents Self-critiquing models for assisting human evaluators

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T22:54:57.933584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:54:57.933584Z digest=sha256:02307cd41e5043c18772a88719f476baee3544bdbddf13f9a85d6929d5fdb1b5

Observation ba90383c-ee4c-47bf-aabf-d0ea4d281bcd · outbound

This paper cites Iterative Translation Refinement with Large Language Models.

Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents Iterative Translation Refinement with Large Language Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T22:54:57.937088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:54:57.937088Z digest=sha256:5516f880fcb2db756f58f8cb59bd03f39c3ed7f24905ae743995643380d3d1dd

Observation f9f90c4d-d500-42d5-9844-25bbd55d7db4 · outbound

This paper cites Large Language Model-based Human-Agent Collaboration for Complex Task Solving.

Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents Large Language Model-based Human-Agent Collaboration for Complex Task Solving

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T22:54:57.940456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:54:57.940456Z digest=sha256:738a45137797d7e4f2fca1e0c194b6beb4cd3f3dc20b0d87c6cdd6aca1e0d319

Observation be4b0a9b-b903-43ee-95a2-6f6ae249bd13 · outbound

This paper cites Aligning Large Language Models with Human: A Survey.

Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents Aligning Large Language Models with Human: A Survey

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T22:54:57.943854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:54:57.943854Z digest=sha256:a16c17b42b075a47034c2a4e148ac519ae79994b784b986ca3ca9958bf366482

Observation 3ea98ff6-81f1-4c5f-b126-e987cfb0fea8 · outbound

This paper cites an unresolved cited work.

Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:54:58.298594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:54:57.947639Z digest=sha256:b5fb2e5cd904bdc838750f52101b8855b389d9e01ebfb55d45b0f7b148229820

Observation e0d16401-7144-4b1e-8c5f-bb1dbc98e06b · outbound

This paper cites Reasoning with Language Model is Planning with World Model.

Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents Reasoning with Language Model is Planning with World Model

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-10T22:54:57.950940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:54:57.950940Z digest=sha256:827dd481df5f017d70253ad0ab6149c170fc520ea5a8f917f7dac45061c7b5e3

Observation 8fb7cffa-9168-438c-be1f-df28d4b043ce · outbound

This paper cites Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.

Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T22:54:57.954096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:54:57.954096Z digest=sha256:35703a8531567b2c26026292bfc211e011d41e4c71663b0504f73c8dbdf775a9

Observation a5ab071c-a1d3-4e5b-8dc0-a8ec2c90a4ff · outbound

This paper cites Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models.

Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-10T22:54:57.957153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:54:57.957153Z digest=sha256:d119a623f5f11dba0adde27fc963bf58d49aa268cba1222e77cc665745260c52

Observation fb4c7c05-4d1a-46be-bdb5-79b68de2f247 · outbound

This paper cites Large Language Model based Multi-Agents: A Survey of Progress and Challenges.

Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents Large Language Model based Multi-Agents: A Survey of Progress and Challenges

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-10T22:54:57.960993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:54:57.960993Z digest=sha256:c05c150aa1cf3812bf306ba2e1652a16c302206060cc59eaaa04571c4b3a0358

Observation d08b8bba-e666-408b-b53e-0e6cb5b21b18 · outbound

This paper cites an unresolved cited work.

Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:54:58.287418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:54:57.964308Z digest=sha256:3e43fc444c058c670b90335fdd1d29e944165d3da66a1d5fd8f599c2d5f4b3a4

Observation f8aceaf2-fd70-404f-9c11-fc511b7d9c6e · outbound

This paper cites LLM Harmony: Multi-Agent Communication for Problem Solving.

Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents LLM Harmony: Multi-Agent Communication for Problem Solving

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T22:54:57.968821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:54:57.968821Z digest=sha256:a451f731bcce3a24a04f001268bb3e0b9f40c04ab3c9c8d88bb6f5b42e7eee4b

Observation f2647dc1-8b5d-458b-ac62-f3a1ba6ca2fc · outbound

This paper cites an unresolved cited work.

Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:54:58.276166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:54:57.972852Z digest=sha256:bb957d46e458a4952c22db36ac30a8c34cfcee6ade8d87b30d436f32bfaa57a4

Observation 32530bf1-7769-47d5-b719-39ab0305a06b · outbound

This paper cites A Human-Computer Collaborative Tool for Training a Single Large Language Model Agent into a Network through Few Examples.

Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents A Human-Computer Collaborative Tool for Training a Single Large Language Model Agent into a Network through Few Examples

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-10T22:54:57.979745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:54:57.979745Z digest=sha256:b528a0b02c08ff194b2f910bee07df8aef503d8420f9dba04ccdafca2d418f94

Observation 084dc842-03cb-4692-b85f-6519370b0da9 · outbound

This paper cites Solving Math Word Problems by Combining Language Models With Symbolic Solvers.

Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents Solving Math Word Problems by Combining Language Models With Symbolic Solvers

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-10T22:54:57.982949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:54:57.982949Z digest=sha256:61647e42a1362c774da3e5605a2cb28f32c9a8591b2f0bb7cb40430bfc8cb18d

Observation 68de1d83-c9a1-4c5d-a301-fe9e3a74be8b · outbound

This paper cites CoMM: Collaborative Multi-Agent, Multi-Reasoning-Path Prompting for Complex Problem Solving.

Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents CoMM: Collaborative Multi-Agent, Multi-Reasoning-Path Prompting for Complex Problem Solving

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-10T22:54:57.986757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:54:57.986757Z digest=sha256:871994f72e95d04db3a668491aec445e68e31cd0df999201fcacb6ed36e5adc9

Observation 625e4f67-e2e5-4d44-90ce-2548f9d4217f · outbound

This paper cites Improving Factuality and Reasoning in Language Models through Multiagent Debate.

Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents Improving Factuality and Reasoning in Language Models through Multiagent Debate

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T22:54:57.991466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:54:57.991466Z digest=sha256:dceb223e82e24fca7a73c0f345deab6bacd121ac9464106db62b64557cac5d00

Observation c4c9a7de-9eed-4665-8330-a38cc2edcb65 · outbound

This paper cites RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models.

Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-10T22:54:57.994831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:54:57.994831Z digest=sha256:1212b9f5ade3fbec207269a50695a5d843c201bc54ed4c6538d0a352032d7fe7

Observation 93393f02-c945-45af-944e-b6d016c68864 · outbound

This paper cites Risks from Learned Optimization in Advanced Machine Learning Systems.

Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents Risks from Learned Optimization in Advanced Machine Learning Systems

Reference 36

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no resolver link, observed 2026-08-10T22:54:57.998228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:54:57.998228Z digest=sha256:259dbef9c5ecf71e1fe0d30b88389d45e8a8b0d02130219b4fa600859877b14a

Observation 5cb07e1c-5694-471a-8133-adb06eea4a4b · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents Measuring Massive Multitask Language Understanding

Reference 37

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unresolved
no resolver link, observed 2026-08-10T22:54:58.001777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:54:58.001777Z digest=sha256:c3b91750cc913ee120d3aa2f18c0002cfe4a6806ae48c214364a728e32120ff0

Observation a78b4f48-9214-41f6-a481-9acc4acce948 · outbound

This paper cites ExpertPrompting: Instructing Large Language Models to be Distinguished Experts.

Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents ExpertPrompting: Instructing Large Language Models to be Distinguished Experts

Reference 38

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unresolved
no resolver link, observed 2026-08-10T22:54:58.005476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:54:58.005476Z digest=sha256:cfa58d1019ba329a49b3db3ddb2641d54b3879f0f65ad707a8bafcaeee2c1434

Observation 4155061e-3fcf-425c-a7d4-dfd1c527972d · outbound

This paper cites an unresolved cited work.

Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents Unresolved cited work

Reference 4485

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unresolved
raw_fallback, observed 2026-08-10T22:54:58.266110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:54:57.976148Z digest=sha256:ff13eaf0ac7199b882f6e7b47da6a3c4fe0dd98df7a26d798f7921a1326d2bfc

Pith citing papers

Observation 0ce39fa2-32fb-4eea-99e5-b1e9afc0fe72 · inbound

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models cites this paper.

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents

Reference 244

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:40:41.479429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-12T08:40:40.910461Z digest=sha256:3712fdf79691e93edc084bea222948c747a613fb538243478a0081243375c3d8

Observation 2c58fdf5-4618-4bd3-9efd-b954a28d22da · inbound

DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models cites this paper.

DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents

Reference 10

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unresolved
no resolver link, observed 2026-08-07T14:22:58.463438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:22:58.463438Z digest=sha256:5524e7d5644fb7e27db135de8b437dba445f066dce6fea3cbf1b6bbe8202515d

Observation 73066226-61b1-409f-9adc-a292341aec1c · inbound

MUPA: Towards Multi-Path Agentic Reasoning for Grounded Video Question Answering cites this paper.

MUPA: Towards Multi-Path Agentic Reasoning for Grounded Video Question Answering Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-15T19:00:53.720119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:00:53.720119Z digest=sha256:879bf9c4571c97e40795e2cfa994cb2c8879a9a621d0b6bc33f76ed9244f50b5

Observation 9d415cac-e65a-45ad-a78c-1ce4a1a36764 · inbound

Meta-Policy Reflexion: Reusable Reflective Memory and Rule Admissibility for Resource-Efficient LLM Agent cites this paper.

Meta-Policy Reflexion: Reusable Reflective Memory and Rule Admissibility for Resource-Efficient LLM Agent Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T10:34:04.035580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:34:04.035580Z digest=sha256:3e5181840c3a0b4ebe09edb8875f490ef973377a3054db19ada8e644cf1ecd4a

Observation 94347249-0af0-4251-af9b-12ce720595b0 · inbound

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory cites this paper.

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents

Reference 231

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T23:13:15.655292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-14T23:13:15.016486Z digest=sha256:a292b1ebe8ad20205a3291418a14055ba463d719ded7f505752e412bd23ebd58

Observation 2118e4ec-f8d7-4167-8a4f-cbf908b17675 · inbound

Agentic Reasoning for Large Language Models cites this paper.

Agentic Reasoning for Large Language Models Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents

Reference 101

Resolution
verified exact
arxiv_id, observed 2026-05-17T15:14:25.978599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-17T15:14:25.558878Z digest=sha256:57ece73db65a669e84f15cb79c92e8bbc6245507bf882d7e6b07069b3c4e85e6

Observation 0a38bc49-89da-4e82-892b-e72eb2a9be39 · inbound

Distilling Long-CoT Reasoning through Collaborative Step-wise Multi-Teacher Decoding cites this paper.

Distilling Long-CoT Reasoning through Collaborative Step-wise Multi-Teacher Decoding Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T16:31:08.780805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-09T16:29:05.186607Z digest=sha256:866503273586a80ada2bc677ffb98955a49629658b4c69241c27c3fd948eea95

Observation a316917e-f56c-4099-bdd9-e2d43b661402 · inbound

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs cites this paper.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents

Reference 9

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unresolved
no resolver link, observed 2026-08-01T07:48:43.163734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T07:48:43.163734Z digest=sha256:768c96678cd3df27b1ae547d07de732f30767d4bbf5cfc143ae8bee5f1b16318