Paper Citation Record · LEDGER

Lexical Hints of Accuracy in LLM Reasoning Chains

As of 19 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 2 inbound Pith citation observations for arXiv:2508.15842.

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

pith.paper-citation-record.v1
2508.15842 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:48:55.479301Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T15:22:55.705722Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T08:06:28.393138Z

Reference resolution

35 of 35 outbound references displayed

verified exact2
verified fuzzy11
unresolved22
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8cddd00c-28e2-4870-81b2-422d8464ed48 · outbound

This paper cites Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection.

Lexical Hints of Accuracy in LLM Reasoning Chains Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T18:48:50.786671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bc81062-1a6c-4fe0-9237-9da26b29fbe2 · outbound

This paper cites Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models.

Lexical Hints of Accuracy in LLM Reasoning Chains Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T18:48:50.863975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ed479fd-84da-4618-bb7c-dd9fd1fdd78c · outbound

This paper cites Goodfellow, Jonathon Shlens, and Chris- tian Szegedy.

Lexical Hints of Accuracy in LLM Reasoning Chains Goodfellow, Jonathon Shlens, and Chris- tian Szegedy

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:48:59.951981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dc0f4cea-8784-4782-8bee-980daaa94640 · outbound

This paper cites Towards evaluating the robustness of neural networks.

Lexical Hints of Accuracy in LLM Reasoning Chains Towards evaluating the robustness of neural networks

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T18:48:51.146384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9dc8fd3f-6326-45ba-9e50-df1e29c58a14 · outbound

This paper cites Universal and Transferable Adversarial Attacks on Aligned Language Models.

Lexical Hints of Accuracy in LLM Reasoning Chains Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T18:48:51.313157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42bea56d-127a-4cba-8ef5-c45f5814a891 · outbound

This paper cites Towards Understanding Sycophancy in Language Models.

Lexical Hints of Accuracy in LLM Reasoning Chains Towards Understanding Sycophancy in Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T18:48:51.499083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ea971e8-edf2-41a6-8a66-1a51494c4db2 · outbound

This paper cites Hallucination is Inevitable: An Innate Limitation of Large Language Models.

Lexical Hints of Accuracy in LLM Reasoning Chains Hallucination is Inevitable: An Innate Limitation of Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T18:48:51.655868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5c2612b-25f9-491e-9fee-c933b5ec96a5 · outbound

This paper cites Prompt Injection attack against LLM-integrated Applications.

Lexical Hints of Accuracy in LLM Reasoning Chains Prompt Injection attack against LLM-integrated Applications

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T18:48:51.798763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7ec56af-1696-4abd-a490-5b82e13facb2 · outbound

This paper cites Automatic and Universal Prompt Injection Attacks against Large Language Models.

Lexical Hints of Accuracy in LLM Reasoning Chains Automatic and Universal Prompt Injection Attacks against Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T18:48:51.940993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4eb29adb-1642-424c-9233-eb9ab704962b · outbound

This paper cites Concrete Problems in AI Safety.

Lexical Hints of Accuracy in LLM Reasoning Chains Concrete Problems in AI Safety

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T18:48:52.069538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 517855bc-add8-4741-8a6b-641a7a3ed0ae · outbound

This paper cites Supervising strong learners by amplifying weak experts.

Lexical Hints of Accuracy in LLM Reasoning Chains Supervising strong learners by amplifying weak experts

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T18:48:52.218451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2df94f2f-fa6a-46d1-9824-df4cd846188b · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Lexical Hints of Accuracy in LLM Reasoning Chains Constitutional AI: Harmlessness from AI Feedback

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T18:48:52.361776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1ae48c1-88f8-4a02-bb1e-8c8525e6dc68 · outbound

This paper cites Training language models to follow instructions with human feedback.

Lexical Hints of Accuracy in LLM Reasoning Chains Training language models to follow instructions with human feedback

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T18:48:52.469472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d27f6f6-0010-4c70-a380-7c5d1f095c51 · outbound

This paper cites Deep reinforcement learning from human preferences.

Lexical Hints of Accuracy in LLM Reasoning Chains Deep reinforcement learning from human preferences

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T18:48:52.582529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 879f3845-db6c-4c66-934f-8dd57cd4e66e · outbound

This paper cites Thinking, Fast and Slow.

Lexical Hints of Accuracy in LLM Reasoning Chains Thinking, Fast and Slow

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T18:48:52.724623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb0f190a-8d74-4599-9404-c84acb9f2407 · outbound

This paper cites Judgment under uncertainty: Heuristics and biases.

Lexical Hints of Accuracy in LLM Reasoning Chains Judgment under uncertainty: Heuristics and biases

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:48:59.666249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ac56889a-884f-4308-8961-c30920db1152 · outbound

This paper cites EasyJailbreak: A Unified Framework for Jailbreaking Large Language Models.

Lexical Hints of Accuracy in LLM Reasoning Chains EasyJailbreak: A Unified Framework for Jailbreaking Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T18:48:52.986090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a0c9a77-6560-4646-af5b-272626ed5d7a · outbound

This paper cites PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models.

Lexical Hints of Accuracy in LLM Reasoning Chains PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T18:48:53.146867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9afb61da-6c6e-4e21-9c9e-2fb3924da373 · outbound

This paper cites TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language Models.

Lexical Hints of Accuracy in LLM Reasoning Chains TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T18:48:53.336959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f41a1c87-17d8-4fe7-8dbe-42ada4b068ab · outbound

This paper cites OWASP top 10 for large language model applications 2025.

Lexical Hints of Accuracy in LLM Reasoning Chains OWASP top 10 for large language model applications 2025

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:48:59.326415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d20cec10-060b-499b-bc34-648554ce6558 · outbound

This paper cites MITRE ATLAS (adver- sarial threat landscape for artificial-intelligence systems), 2021.

Lexical Hints of Accuracy in LLM Reasoning Chains MITRE ATLAS (adver- sarial threat landscape for artificial-intelligence systems), 2021

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:48:59.043242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b5b8127f-f1b2-4441-a567-01b7d05251d3 · outbound

This paper cites Artificial intelligence risk man- agement framework (AI RMF 1.0).

Lexical Hints of Accuracy in LLM Reasoning Chains Artificial intelligence risk man- agement framework (AI RMF 1.0)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:48:58.719160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6661c7c7-9dc1-4c99-899e-338d35a160e9 · outbound

This paper cites Information technology—artificial intelligence— guidance on risk management, 2023.

Lexical Hints of Accuracy in LLM Reasoning Chains Information technology—artificial intelligence— guidance on risk management, 2023

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:48:58.423304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 49ccff31-0c15-4bab-98d9-4f370195e362 · outbound

This paper cites Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned.

Lexical Hints of Accuracy in LLM Reasoning Chains Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T18:48:53.995402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 363659ad-1e53-4862-a1de-9b89b37fa061 · outbound

This paper cites Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training.

Lexical Hints of Accuracy in LLM Reasoning Chains Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T18:48:54.113119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2efe275a-1be1-4064-ba2d-490e5cb9ba6e · outbound

This paper cites an unresolved cited work.

Lexical Hints of Accuracy in LLM Reasoning Chains Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-05T18:48:58.181584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation df091262-2b34-4612-a296-c11eea7c22ab · outbound

This paper cites De- veloping trustworthy artificial intelligence: In- sights from research on interpersonal, human- automation, and human-AI trust.

Lexical Hints of Accuracy in LLM Reasoning Chains De- veloping trustworthy artificial intelligence: In- sights from research on interpersonal, human- automation, and human-AI trust

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:48:57.905727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation db113349-b86e-4fa4-8e03-037e0f9746ea · outbound

This paper cites Bartz, Karen S.

Lexical Hints of Accuracy in LLM Reasoning Chains Bartz, Karen S

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:48:57.606364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 057089c1-1ec1-4573-9577-a8b38f678c7a · outbound

This paper cites A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions.

Lexical Hints of Accuracy in LLM Reasoning Chains A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T18:48:54.676287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d73111e-a77d-4051-beac-d08c7a0af318 · outbound

This paper cites Prospect theory: An analysis of decision under risk.

Lexical Hints of Accuracy in LLM Reasoning Chains Prospect theory: An analysis of decision under risk

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:48:57.290609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d452841b-2e53-4fde-9d34-49a2cc79b726 · outbound

This paper cites Cialdini.

Lexical Hints of Accuracy in LLM Reasoning Chains Cialdini

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:48:57.075557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8f6a53b5-275d-47a2-9db7-69caaa45928c · outbound

This paper cites "Think First, Verify Always": Training Humans to Face AI Risks.

Lexical Hints of Accuracy in LLM Reasoning Chains "Think First, Verify Always": Training Humans to Face AI Risks

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-05T18:48:55.982994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0977b82f-fa52-49ef-83d3-80b7898c5f42 · outbound

This paper cites O’Reilly Media, 2005.

Lexical Hints of Accuracy in LLM Reasoning Chains O’Reilly Media, 2005

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:48:56.745007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 610e1a58-b872-4d84-b057-22402d221150 · outbound

This paper cites an unresolved cited work.

Lexical Hints of Accuracy in LLM Reasoning Chains Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-05T18:48:56.433758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 69d219e6-fa59-48bb-93bd-65d5e1b9cb5b · outbound

This paper cites Cognitive Cybersecurity for Artificial Intelligence: Guardrail Engineering with CCS-7.

Lexical Hints of Accuracy in LLM Reasoning Chains Cognitive Cybersecurity for Artificial Intelligence: Guardrail Engineering with CCS-7

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-05T18:48:55.775129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation 0dbbe5fe-f866-44ac-9748-ce8c1ef9db00 · inbound

Sanity Checks for Long-Form Hallucination Detection cites this paper.

Sanity Checks for Long-Form Hallucination Detection Lexical Hints of Accuracy in LLM Reasoning Chains

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:06:28.402436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7fa0ea57-4e87-4d6d-ab0a-7fa9a9957c7a · inbound

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models cites this paper.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Lexical Hints of Accuracy in LLM Reasoning Chains

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-04T15:22:55.705722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.