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Paper Citation Record · LEDGER

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL

As of 12 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2605.17295.

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

pith.paper-citation-record.v1
2605.17295 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-20T15:11:43.235574Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

57 of 57 outbound references displayed

  • verified exact10
  • verified fuzzy23
  • unresolved4
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch19

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 38722dad-09ae-4067-ba8a-b1f39b8d391a · outbound

This paper cites arXiv preprint arXiv:2509.15207 , year=.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL arXiv preprint arXiv:2509.15207 , year=

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-20T15:13:24.941751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:4f92b9a9b41baca70148b3d3aa0c7cd382e1e3c862a058e7879f803f63d8600b

Observation 7cbf2b94-4fa5-442c-b709-ce6504bb733d · outbound

This paper cites Amortizing intractable inference in large language models.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL Amortizing intractable inference in large language models

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-20T15:13:24.888223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:4d7df7e23f35b234fad2bfa9a02a692190f7203d892affc3d78af3dba4e59e74

Observation 008c89e0-65e7-411b-a82d-289b4dcddd76 · outbound

This paper cites Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-20T15:13:24.870383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:db3d5cd53ff555d2c74f9bf90c7d524dd5715b7930e7c6b8bad208b09bca5c6d

Observation 60a5b4c3-194d-40a7-b693-5bc429d32fb9 · outbound

This paper cites arXiv preprint arXiv:2503.18929 , year=.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL arXiv preprint arXiv:2503.18929 , year=

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-20T15:13:24.913284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:0e9327af400983872bf39d2c2ba95e6d6e867889a0d187a6ca549eb3e92fd052

Observation d9cd89b2-3b90-4a6f-8c7e-30182c24b72b · outbound

This paper cites Advances in neural information processing systems , volume=.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL Advances in neural information processing systems , volume=

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T15:13:25.585138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:93f95f4aaf2f7b1378a83789eecf24ef4ef2bc899025e306bb720917df9ac639

Observation 3f06f42d-b484-474b-aac4-66126564bdb5 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL Advances in Neural Information Processing Systems , volume=

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T15:13:25.578114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:22e2ee79708130ef8d3ca77607b3e384af1b15e570442e31e400ed4a01ec36c9

Observation 0a1e4f9b-9f8e-4410-a759-3a2d32d079e9 · outbound

This paper cites Proximal Policy Optimization Algorithms.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL Proximal Policy Optimization Algorithms

Reference 7

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T15:13:24.900824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:708bd2cee114cb9e1e9103b0c9445673edeb019566172dc66ac8ce2d12f5457a

Observation c0d7375c-8189-4f81-8dc9-3e8e26d35817 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 8

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T15:13:24.916204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:8c48c410af17448c7c07b5375da9fca2f293e6ee6107c3ce8bea22c4ffd9f1f2

Observation 893c982e-8ba7-425d-be1d-094742f23b9b · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 9

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T15:13:24.897848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:c0a742cb39af13d0d46ac14a2021a4879e901ca8ea71fd8e0f96f2dfca382b2e

Observation 686f24b4-f971-430f-9dfc-b56147f3b103 · outbound

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

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-05-20T15:13:24.860933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:02a12de5818e1bd82416539b016ea8112c63fefba97b8771496038a52df83eba

Observation 7e46795e-bf9c-4337-8418-30d50b38022f · outbound

This paper cites 2026 , eprint=.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL 2026 , eprint=

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T15:13:25.575896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:a7cb2f5f6d549d361da55b03e53c7b091be65360b3ca15fde26c06e2ced46ad8

Observation 76272369-8699-474d-8de8-e1f6dae88de3 · outbound

This paper cites REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization

Reference 12

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T15:13:24.876639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:eb797b1335cdaa92b41abfaf808ad8d652a31e1d59a9f34c6e91bf4453c9c216

Observation 6583ad81-16ec-4e18-9031-02a7d7d2dfef · outbound

This paper cites Understanding R1-Zero-Like Training: A Critical Perspective.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL Understanding R1-Zero-Like Training: A Critical Perspective

Reference 13

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T15:13:24.919311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:11170cea353409602d6e21daf91094ebfe264cf8639ecdab0454c04709c5db67

Observation 85c443ce-98c1-4d54-9a65-dcd611dddaf4 · outbound

This paper cites Group Sequence Policy Optimization.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL Group Sequence Policy Optimization

Reference 14

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T15:13:24.906953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:e0d043967f81c919ebc0df1e15a5380edf3eadbe53b65652c65c96f9c58ac9da

Observation 8e9b1bbe-6e87-460d-b37f-80140c6a958c · outbound

This paper cites SRPO: A Cross-Domain Implementation of Large-Scale Reinforcement Learning on LLM.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL SRPO: A Cross-Domain Implementation of Large-Scale Reinforcement Learning on LLM

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T15:13:24.931997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:8186a1f5ea55332a41ec26ff1d25dd54d6889c744693d787fa1f72e0a9142d03

Observation a934a87a-4b16-4aff-88ca-84c12dae218b · outbound

This paper cites Agentic Reinforced Policy Optimization.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL Agentic Reinforced Policy Optimization

Reference 16

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T15:13:24.857729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:4a15adfed5b87cae3366e75dd9f3826240e01c53fb02f36bf5bd9143ae6340ec

Observation e5e3e00a-54c4-4420-88fc-74d3b10c6268 · outbound

This paper cites Scaling Up RL: Unlocking Diverse Reasoning in LLMs via Prolonged Training.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL Scaling Up RL: Unlocking Diverse Reasoning in LLMs via Prolonged Training

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-20T15:13:24.864105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:09561e51b2d2a1b5bc7a5290258760fe27d4766148579cc64385434e3f0ce6cc

Observation 2a14dbea-d0d9-43ea-a7d0-8920dff29569 · outbound

This paper cites arXiv preprint arXiv:2505.09655 , year=.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL arXiv preprint arXiv:2505.09655 , year=

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-20T15:13:24.938534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:83ab1f63becda4522410ac315f8501252c65493dcf32517ab0192518cc790d9a

Observation 0843765b-10e1-444a-9994-178eba1d4ff2 · outbound

This paper cites The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models

Reference 19

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T15:13:24.904070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:0fb6ef1bc962e369aa9093bed86bc6f5c3bcaf013119e646342cf873cb7433f1

Observation b193ff5a-b4d3-4f70-8433-653f92d07f96 · outbound

This paper cites Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning

Reference 20

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T15:13:24.944760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:de9121fd86a7bd822e6bb61e1545cb7ad3463e8bc9cc8ca1bc4112823b7f5980

Observation db93eb9f-e998-437b-93ae-d43cc02d4045 · outbound

This paper cites an unresolved cited work.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-05-20T15:13:25.566419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:a702e031304b83cf53ef04fea7f792fe9b121273914e401c7230012a0850012d

Observation 6eb1204f-a853-49ba-9f9b-41d1145acf12 · outbound

This paper cites Advances in neural information processing systems , volume=.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL Advances in neural information processing systems , volume=

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T15:13:25.568898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:b56e73111742bbd0c668c8f14d6bb507ae0362caacff64b2fda77b55ebda12e1

Observation e0d7984f-805e-4ea2-b128-ba8b2d3f1185 · outbound

This paper cites International Conference on Artificial Intelligence and Statistics , pages=.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL International Conference on Artificial Intelligence and Statistics , pages=

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T15:13:25.571240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:9fedde30efcde9c18c9a47d02df83b4e552aabf6d07dfbf4659ad582b0676e86

Observation 64c77e35-b9c1-43f0-bba9-ed598926d347 · outbound

This paper cites Advances in neural information processing systems , volume=.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL Advances in neural information processing systems , volume=

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T15:13:25.560949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:65457d916be13a5077c215887fd945d449c6b20420460fa25d6a9003724b8142

Observation 49595acd-f6d6-4e2e-bfca-f6eef3a3d2f8 · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 25

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T15:13:24.948065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:cb008f66aa5d219359fbcff1912fa62ac6081d9282eb88ce2ca42788b6ddd7d6

Observation 9b615e5a-a9b1-49db-b13f-6e5aa545aac0 · outbound

This paper cites RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment

Reference 26

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T15:13:24.879913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:5b640590894cca930275d6a68b395178afda9af9898e8deeb2d12da86ba558c7

Observation e0407e19-face-4ffb-9554-062912a861f0 · outbound

This paper cites BOND: Aligning LLMs with Best-of-N Distillation.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL BOND: Aligning LLMs with Best-of-N Distillation

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-20T15:13:24.873415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:f99eeeba9dbc25e14eef0642a15c4d7766f9631d7d3916457ebf973d562c1fd3

Observation 7c400246-1c80-4bb2-932a-c3bea141a0ed · outbound

This paper cites Advances in neural information processing systems , volume=.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL Advances in neural information processing systems , volume=

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T15:13:25.558355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:9d24c8d2e7c553e4459e9f31cf71e1227a5e1782a65cc31fe5803acbc397724d

Observation e1afe423-0d20-40b3-a327-fa9d66bbddc6 · outbound

This paper cites Advances in neural information processing systems , volume=.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL Advances in neural information processing systems , volume=

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T15:13:25.563727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:de68f1ed7a50896bd826d1b350373763a66b21bd242dc2534e71fa270823bfb7

Observation f23c6479-6dfc-4a5f-abda-978670258c52 · outbound

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

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 30

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T15:13:24.910001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:34f24a94d788b952093df87fa6656dabca4a5b88cf9e6550e545dea91d24d1e4

Observation 33f1d71e-9fc2-4287-b0a9-378027f14ce8 · outbound

This paper cites Advances in neural information processing systems , volume=.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL Advances in neural information processing systems , volume=

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T15:13:25.573428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:12a98967d84d2b2c70116969596eede6879e3e7a0f5db88c66436026b692c4bc

Observation a1d82060-8488-42b8-b479-41fffd4f14e8 · outbound

This paper cites Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers

Reference 32

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T15:13:24.922625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:aef6533442f342025cfd92710af31d85a847d0f148c87374df5301ff5764f22c

Observation b3dc15d8-b1de-48df-8b60-4e8bc2cce7ce · outbound

This paper cites The twelfth international conference on learning representations , year=.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL The twelfth international conference on learning representations , year=

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T15:13:25.553515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:0b2f9a499f25c153768ce8830fa59b3dd9d8b6b1e51cd9782c2a28a541e654bd

Observation a3879e1c-1b4d-4c83-85b6-698ccbc672b6 · outbound

This paper cites an unresolved cited work.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-05-20T15:13:25.555984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:7ceea1ea2ca8f51dced1fb963b9ecf3306befdae8d1daf89328b6ad348cce253

Observation f0ee7e6c-acb1-4f5a-befa-4562eb668af3 · outbound

This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 35

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T15:13:24.891182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:d334bf3827832bf1a3c03e905b73361e1d6a68a201526e4f3b699f75cc02e0c6

Observation a4ccebfe-48b8-4658-82a0-6068b2e2c227 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL Evaluating Large Language Models Trained on Code

Reference 36

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T15:13:24.928697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:34b5a362b4a9894fc809a669bfc366fa2f1c9a722f46eba94dbd097d33735dda

Observation 56a9ba2c-9409-4739-86bc-18df35dda612 · outbound

This paper cites Advances in neural information processing systems , volume=.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL Advances in neural information processing systems , volume=

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T15:13:25.583011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:dfa233feff4864bac6f76bbd0f6970bf3378a6eaab9bc9d3637847e12b19e2ca

Observation dcd032b1-9c27-4e0f-8251-a22926e0efbb · outbound

This paper cites an unresolved cited work.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL Unresolved cited work

Reference 38

Resolution
parse uncertain
raw_fallback, observed 2026-05-20T15:13:25.548137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:a9c349e0738a2e650d315e8abf09efb77aeea0ad88a931271f5b453bc0a7eda4

Observation 8ecd898a-ac9c-48b0-a398-b8bde9e18f94 · outbound

This paper cites 2025 , howpublished =.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL 2025 , howpublished =

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T15:13:25.580655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:f6a39b681bb6f4a6fa4d63dbf3e76816202da790318f54f3aa10d51a73bed088

Observation 5e14f32b-cc10-4ab6-a33c-ed3c2adc0685 · outbound

This paper cites 2025 , eprint=.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL 2025 , eprint=

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T15:13:25.542736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:490ac07f23a7ebfe9556dd180ddac07e736f28ec2fde45800f1e914b917bc7b5

Observation fbdfdcbd-759f-4fbb-a5fc-30facfd966bb · outbound

This paper cites Qwen3 Technical Report.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL Qwen3 Technical Report

Reference 41

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T15:13:24.884348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:67381cb1a5e694ecc378468f486bf501958006f3ccd80d6567c2c065b75137d4

Observation 929b36c0-1926-4094-b242-3e5a63d7383f · outbound

This paper cites Proceedings of the Twentieth European Conference on Computer Systems , pages=.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL Proceedings of the Twentieth European Conference on Computer Systems , pages=

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T15:13:25.540265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:05d90ad7c7227ff7735db0bcf91d4aa7d0fb121c208be11fe9b30b80b1ffd4f4

Observation b0252b1d-727f-4667-b807-56dfdb946688 · outbound

This paper cites Owen , year = 2013, title =.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL Owen , year = 2013, title =

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T15:13:25.537652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:e5d83f0ab6d85e14424e547a01e90b030b6e5c6fe2bf37d858f240f3dc4db138

Observation af73ba41-3a64-48ef-b5c8-83949137d650 · outbound

This paper cites Monte Carlo Statistical Method , volume =.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL Monte Carlo Statistical Method , volume =

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T15:13:25.532788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:afebf30f3707f6c4e2b4118354e65a42058bcbdf201c30602cb2ce645067b18d

Observation 648348ed-c546-46e0-866e-034aa01d55cc · outbound

This paper cites Wiley Interdisciplinary Reviews: Computational Statistics , volume=.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL Wiley Interdisciplinary Reviews: Computational Statistics , volume=

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T15:13:25.535115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:eedf8df06d004ab29628c971c582a62607cc99b9b8f2270ba4f84c96638b8ebf

Observation 23020c82-383c-410b-a5f7-15b5eef28845 · outbound

This paper cites Advances in Importance Sampling.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL Advances in Importance Sampling

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-20T15:13:24.867325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:1604d8f148bafbca866a16375b5485859c49298c50e702349c1d26fe7dbdfcfb

Observation 90c096a2-2bba-4bd4-bdc5-d4e336532993 · outbound

This paper cites Journal of the American Statistical Association , volume=.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL Journal of the American Statistical Association , volume=

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T15:13:25.545424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:13d2380fa603e19c1bdb6930329d1ba12d085e4fa857a8c37cf5d9aeb2352c6e

Observation c3d8828a-f536-4698-9e0e-31ae7d8f258c · outbound

This paper cites an unresolved cited work.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-05-20T15:13:25.550895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:593e92419d3da661acc22fa79191bb2998f5680e93d88ea0e2acef00e171aca4

Observation 66b3c450-a9f8-46a5-98a4-09a889166013 · outbound

This paper cites Advances in neural information processing systems , volume=.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL Advances in neural information processing systems , volume=

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T15:13:25.528577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:68642b8fe3fb670fb99967a28b58eb69100d628e2ddcd944e632eb7b1322d9f5

Observation 6a075063-c23c-48ff-97fe-63a7d6b107a0 · outbound

This paper cites Flow Matching Policy Gradients.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL Flow Matching Policy Gradients

Reference 50

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T15:13:24.894272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:d55bf578cd4b62ef05a8e6684bbab4f167f24d27145cc9e9c8f31d67b692df46

Observation d5a7ef1c-d354-4e4f-b121-92b8d68547f1 · outbound

This paper cites Lightning OPD: Efficient Post-Training for Large Reasoning Models with Offline On-Policy Distillation.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL Lightning OPD: Efficient Post-Training for Large Reasoning Models with Offline On-Policy Distillation

Reference 51

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T15:13:24.925739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:e535492da8e367a96bc06663bfa35cefdfc252d84b86d7bc329a601b1136f09b

Observation 5eee36e5-f45c-4916-a5f7-458ca7795210 · outbound

This paper cites arXiv preprint arXiv:2510.13651 , year=.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL arXiv preprint arXiv:2510.13651 , year=

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-20T15:13:24.935190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:1ee85bd27ffd0f2c13bd6a08578e7958c842593a48c19386644193efb4ee97ad

Observation 022bf396-3266-42cb-983a-14137377de72 · outbound

This paper cites 2026 , eprint=.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL 2026 , eprint=

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T15:13:25.525836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:9ac48698037aa68d6736c0d2ca502ed59757da9ee76dec2ced1c4eba386c88f8

Observation 4e210f50-ceb2-4938-a602-95b06e6d2c9f · outbound

This paper cites 2024 , url =.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL 2024 , url =

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T15:13:25.530660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:b446f9504bf4c338369c934018851d3ac2727cb216c68cbdcf49184dea94d049

Observation 9d39e596-f447-4713-9536-bd893681c3c4 · outbound

This paper cites 2025 , url =.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL 2025 , url =

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T15:13:25.518610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:12bd4807caca55af06e41de5d96c32243d9ffc48a3fb48d4b9ec818212da0a8f

Observation 16a8ab97-c464-4dd9-9ff0-203d369af75c · outbound

This paper cites Hugging Face repository , howpublished =.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL Hugging Face repository , howpublished =

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T15:13:25.520921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:f6b6fbf8dd07a5cae9e23c12458f8e67793980eb3d72ab18fce22b58ce3712e8

Observation c85155e3-9b8b-44f6-85a5-4d253f921031 · outbound

This paper cites an unresolved cited work.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-05-20T15:13:25.523139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T15:11:43.235574Z digest=sha256:4599bbbd027497c47ba3901dcce7b355a8d2d46e997194400079af52e7875ce0

Pith citing papers

No inbound Pith citation observations are available.