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Paper Citation Record · LEDGER

Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis

As of 18 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2508.03396.

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

pith.paper-citation-record.v1
2508.03396 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:35:32.587153Z

measured 31 of 31 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 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

31 of 31 outbound references displayed

  • verified exact0
  • verified fuzzy7
  • unresolved24
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6efec82b-67aa-4172-a0d4-c65cb0d0d945 · outbound

This paper cites S.; Kazi, S.; Sourabh, V.; et al.

Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis S.; Kazi, S.; Sourabh, V.; et al

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:35:36.239512Z

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=2026-08-06T04:35:31.014179Z digest=sha256:17c8f02c96beda03f93427d4911947f92801e11ad55d5cc640fde7677e114e60

Observation 53e67fae-f0c7-4a85-9e3f-8cb8ddf42f6b · outbound

This paper cites an unresolved cited work.

Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-06T04:35:36.031185Z

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=2026-08-06T04:35:31.028774Z digest=sha256:a5f492f5205dd14e36177e2b9578a186be156fe72102e06be0e5d33435c6789c

Observation f732523d-7f1e-43f9-9c1b-b92c835bcf0a · outbound

This paper cites an unresolved cited work.

Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-06T04:35:35.903118Z

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=2026-08-06T04:35:31.042241Z digest=sha256:509c397c5337832e1fa61cda09596ca364cf11d715156058b94d2a997fcb449d

Observation 56a9be93-3491-44ef-ba28-da5c3a95d859 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis Training Verifiers to Solve Math Word Problems

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T04:35:31.057805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:35:31.057805Z digest=sha256:039f8b126d64430a4bce04e02bbd15d5089e5bcab46d6040e2f2d5368670b8b5

Observation dfd12a22-b3f9-4d70-9b11-dfb5301856d3 · outbound

This paper cites UloRL:An Ultra-Long Output Reinforcement Learning Approach for Advancing Large Language Models' Reasoning Abilities.

Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis UloRL:An Ultra-Long Output Reinforcement Learning Approach for Advancing Large Language Models' Reasoning Abilities

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T04:35:31.077918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:35:31.077918Z digest=sha256:4a1cce02bb2c0829e538c11707afa68c4ed1b1b3fffbf782e4504779afdc5092

Observation 25dbc973-0abc-41cc-a0ef-2b700ecb86aa · outbound

This paper cites an unresolved cited work.

Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-06T04:35:35.731083Z

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=2026-08-06T04:35:31.091051Z digest=sha256:043887a597d32f86cce337c9c94f2fe58dc9c9b2614cc591ea38f9eefa3559be

Observation 8a565c9e-096e-401a-9847-6e190f6c7802 · outbound

This paper cites an unresolved cited work.

Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-06T04:35:35.560043Z

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=2026-08-06T04:35:31.104790Z digest=sha256:571651dd1c037b1089fce8b2ef91fe935bb8cb4662111ca6f16f701330efe471

Observation 7ec34be1-9257-49ef-9de5-b01380e0090b · outbound

This paper cites L.; Liu, Y.; Shang, N.; Sun, Y.; Zhu, Y.; Yang, F.; and Yang, M.

Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis L.; Liu, Y.; Shang, N.; Sun, Y.; Zhu, Y.; Yang, F.; and Yang, M

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:35:35.370968Z

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=2026-08-06T04:35:31.119363Z digest=sha256:e73f6ccf548c512f1a07c9339f1c9e1b670c26652611fa1fe3f56b081c6b5b68

Observation 3c1e1432-07d5-4af5-82dd-b8b1470b9a3d · outbound

This paper cites an unresolved cited work.

Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-06T04:35:35.157693Z

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=2026-08-06T04:35:31.134048Z digest=sha256:5cea6c464268fbabbfaefc896c5bc33bf3fc0e7e293563a625bd391621200fa2

Observation 9b9db833-d11d-4a2f-850c-9221e873f626 · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis Measuring Mathematical Problem Solving With the MATH Dataset

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T04:35:31.149105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:35:31.149105Z digest=sha256:f01c52435ba621e71c23eee6f8959509878468e8e225ef86a50d1dbb7d97f080

Observation de8a7881-3eec-4a4d-8712-61e6474933e2 · outbound

This paper cites S.; Yu, A.; Song, X.; and Zhou, D.

Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis S.; Yu, A.; Song, X.; and Zhou, D

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:35:34.828222Z

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=2026-08-06T04:35:31.164078Z digest=sha256:ba48d1d76a40ccb9e9f700c0b7041aeaaf820f5d1ff31add7a0f816a0f1a6ae4

Observation 915c15dc-8988-4842-9e87-dd6f040bed42 · outbound

This paper cites Prover-Verifier Games improve legibility of LLM outputs.

Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis Prover-Verifier Games improve legibility of LLM outputs

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T04:35:31.176661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:35:31.176661Z digest=sha256:368f4f8464af7286267e4378d62d6cd81a55d79f0f2785ad599fb3f642f83600

Observation ee58e9c9-b9d9-4112-8a18-fd3b5edd409b · outbound

This paper cites Q.; Shen, Z.; et al.

Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis Q.; Shen, Z.; et al

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:35:34.577326Z

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=2026-08-06T04:35:31.191255Z digest=sha256:a46fea0f1a7fa724cb59d4eb7b80bbe0934bfef2381b8983264122255d6daf58

Observation 3e0f0473-5d9b-454c-8cd9-d5542d5d5485 · outbound

This paper cites MathDebugger: Detecting and Diagnosing Errors in Synthetic Mathematical Data.

Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis MathDebugger: Detecting and Diagnosing Errors in Synthetic Mathematical Data

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T04:35:31.214664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:35:31.214664Z digest=sha256:28f44e5a3b15a011d911a9aba4dd92fc7716a5ba5ecdf75035ccf03626f9671c

Observation 8f0452db-b52a-4391-ae76-d4125b656030 · outbound

This paper cites an unresolved cited work.

Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-06T04:35:34.296698Z

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=2026-08-06T04:35:31.232841Z digest=sha256:240521ccbe08606553e3333f5ec84464caf529d7fe436e203b94dea50d0daa7e

Observation 17b8ece2-d40e-4eeb-b0d3-f335fa4b077d · outbound

This paper cites Skywork-Reward-V2: Scaling Preference Data Curation via Human-AI Synergy.

Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis Skywork-Reward-V2: Scaling Preference Data Curation via Human-AI Synergy

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T04:35:31.254766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:35:31.254766Z digest=sha256:fcd2cbe95799f91050ed3f912c9029b57df43eb2d33363c6c5c00af206a7943c

Observation 2c50cb34-9d42-4ce3-9899-47a61997746e · outbound

This paper cites an unresolved cited work.

Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-06T04:35:33.972176Z

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=2026-08-06T04:35:31.345470Z digest=sha256:1d25f49737dfeb18f6df859c312b936873b93bbc6a14baeb168a183d79726cc0

Observation fb554cd4-817e-49dd-b1a0-a525861ecc07 · outbound

This paper cites an unresolved cited work.

Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-06T04:35:33.795569Z

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=2026-08-06T04:35:31.453897Z digest=sha256:3e0a745f852c13150521099b00ca70d8c2a4220e770a2e5e68568f718171a4c1

Observation c26cf467-c98f-434c-9c75-0eb38ec3faf9 · outbound

This paper cites D.; Ermon, S.; and Finn, C.

Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis D.; Ermon, S.; and Finn, C

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:35:33.633698Z

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=2026-08-06T04:35:31.523214Z digest=sha256:afecd075f142c068c23017f2a5f06908325128f9a6657f698b9d2ef35347d22b

Observation 1800bddd-1402-434d-a15b-9317b518e41e · outbound

This paper cites Proximal Policy Optimization Algorithms.

Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis Proximal Policy Optimization Algorithms

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T04:35:31.595403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:35:31.595403Z digest=sha256:479522401c73ab730156a6d4e14afa64a76966eb4e8795f5f510bc0bac47bc2e

Observation c1dd8568-a275-4aa0-8d9b-9ba935fc77f1 · outbound

This paper cites On a Formal Model of Safe and Scalable Self-driving Cars.

Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis On a Formal Model of Safe and Scalable Self-driving Cars

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T04:35:31.690384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:35:31.690384Z digest=sha256:e7217402a601f47c4a6bdb92e2188aad745fa2a965eb83f79fad10b25696dc75

Observation 8409a533-71ac-4edd-bc3d-3e125a4e41ea · outbound

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

Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T04:35:31.762696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:35:31.762696Z digest=sha256:628efcb0dea7f5f959508d949804bd2eeeb1ae1199bc6d4c10c7bca5f978f221

Observation 070a0122-2a06-4a99-909a-3472a0bd88f3 · outbound

This paper cites P.; and Mak, T.

Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis P.; and Mak, T

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:35:33.464339Z

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=2026-08-06T04:35:31.863051Z digest=sha256:074c6f1b93ac726232e90e39c3d7e4f50c10bb9667067d08c1e24cec9c646f63

Observation 30ce62c6-35bb-45b8-ae91-7e12a979ceed · outbound

This paper cites an unresolved cited work.

Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-06T04:35:33.323862Z

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=2026-08-06T04:35:31.977617Z digest=sha256:61485d225a6fc57b127b89f34ceb03150f73dedc48efd59407f158863b941084

Observation 3413d6a4-733c-4b9c-a08e-e35f5047d21c · outbound

This paper cites Large Language Models for Education: A Survey and Outlook.

Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis Large Language Models for Education: A Survey and Outlook

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T04:35:32.045533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:35:32.045533Z digest=sha256:30ac43f76f64755413b243aaeb79c04ba99c2bb0847894f4d4018d3f41a67626

Observation 883de42d-e437-4fd9-b43f-1b2727c879b5 · outbound

This paper cites V.; Zhou, D.; et al.

Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis V.; Zhou, D.; et al

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:35:33.181720Z

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=2026-08-06T04:35:32.119965Z digest=sha256:1261d502e87429b1e89feeabf2fe6ee9e98f899af8fcdff419c0177cf66bf597

Observation 05b28a88-1c5d-4b92-8407-93b2008ea8d3 · outbound

This paper cites Unveiling the Safety of GPT-4o: An Empirical Study using Jailbreak Attacks.

Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis Unveiling the Safety of GPT-4o: An Empirical Study using Jailbreak Attacks

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T04:35:32.226777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:35:32.226777Z digest=sha256:8b4616d3bbc8bc68f15cc511392440eebf3a551300c8917fbd4ea3ebce9af31c

Observation b29c6c51-9e65-48f3-8de4-4a48c5ab1f92 · outbound

This paper cites Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models.

Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T04:35:32.297735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:35:32.297735Z digest=sha256:f347170f36103dd8c1255a0c022cce618ea46f7a9881a84e2d7d8ac6e8f7913a

Observation c57377c5-daf4-4b04-b091-0e812290174e · outbound

This paper cites HaluEval-Wild: Evaluating Hallucinations of Language Models in the Wild.

Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis HaluEval-Wild: Evaluating Hallucinations of Language Models in the Wild

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T04:35:32.417153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:35:32.417153Z digest=sha256:538a4998a975569a6a6ee65adc684398acbf75ae7f2ae2f07cfd52de4c1d08a6

Observation 71eeedfb-b77b-43d5-8d65-75837760cc9d · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis , " * write output.state after.block = add.period write newline

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T04:35:32.488758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:35:32.488758Z digest=sha256:33f10375e82b5811a8c3c0810c19d40c7c848dc04b3e685884d87644dc2d595e

Observation 80bbb304-1516-4d8e-8fd1-0370ae92a777 · outbound

This paper cites write newline.

Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis write newline

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T04:35:32.587153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:35:32.587153Z digest=sha256:be28af638ddb487cc937dc0ab90ddd212ff3e4cb4327bb8eab5a6c982fd81345

Pith citing papers

No inbound Pith citation observations are available.