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Paper Citation Record · LEDGER

Information Discernment in Large Language Models

As of 8 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 1 inbound Pith citation observation for arXiv:2607.19355.

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

pith.paper-citation-record.v1
2607.19355 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T13:26:28.271210Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:18:52.158408Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:18:54.668962Z

Reference resolution

37 of 37 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved33
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 47515324-bb26-42b0-a9e7-c1aff881064f · outbound

This paper cites Deep Value Benchmark: Measuring Whether Models Generalize Deep Values or Shallow Preferences.

Information Discernment in Large Language Models Deep Value Benchmark: Measuring Whether Models Generalize Deep Values or Shallow Preferences

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:26:23.752309Z digest=sha256:9bb2cf5c5b1f2e679f9731b135e757188c77a39999cfb86fe9081cc7b0497354

Observation 307aad14-992c-46c6-be1b-e86a704d0901 · outbound

This paper cites an unresolved cited work.

Information Discernment in Large Language Models Unresolved cited work

Reference 2

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verified exact
doi, observed 2026-08-02T13:28:58.444536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-02T13:26:23.846059Z digest=sha256:e1a20d7284aed92a2b401819a1c4705894b53627c8646e14c2ce3d0f7d478305

Observation c656c6ae-51ab-4906-9b0f-077f83f7c141 · outbound

This paper cites an unresolved cited work.

Information Discernment in Large Language Models Unresolved cited work

Reference 3

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verified exact
doi, observed 2026-08-02T13:28:58.242023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-02T13:26:24.014387Z digest=sha256:c8be7eb3a667af779bb2ee31f3ef4be835dbc986023ba521fc78e55de2c62cd2

Observation 5fb5c4aa-5620-4d6b-880b-2d9d8ce0bb39 · outbound

This paper cites MAIN- RAG: Multi-Agent Filtering Retrieval-Augmented Generation.

Information Discernment in Large Language Models MAIN- RAG: Multi-Agent Filtering Retrieval-Augmented Generation

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:26:24.176329Z digest=sha256:cfde352d18fd42ff6f88dd497c02354b0d1db7f8e6b62ea483d4e03b0fc37f73

Observation fcd1fb56-db51-4034-abf1-fa153ddff153 · outbound

This paper cites Combating misinformation in the age of LLMs: Opportunities and challenges.AI Magazine, 45(3):354–368, 2024.

Information Discernment in Large Language Models Combating misinformation in the age of LLMs: Opportunities and challenges.AI Magazine, 45(3):354–368, 2024

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:26:24.338433Z digest=sha256:0f1237e032ece38468605f61cf0a902d7d0e80fcbd0f3cce867dd606fcce07de

Observation e4bc15ba-b8db-4274-9f4e-3f2686ed6db7 · outbound

This paper cites A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models.

Information Discernment in Large Language Models A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models

Reference 6

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no resolver link, observed 2026-08-02T13:26:24.506272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:26:24.506272Z digest=sha256:7236f64910c5e8ecde144930cf68698a3cba91bcadc4f3f577ba7a5a18be4379

Observation ce95dddb-3b04-46de-ab4a-3c6fa7992285 · outbound

This paper cites WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia.

Information Discernment in Large Language Models WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia

Reference 7

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no resolver link, observed 2026-08-02T13:26:24.620624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:26:24.620624Z digest=sha256:39a6f8cf7a27f6fd2642cdb8b816c5bc004ce35a15388c803541c65d503040bf

Observation 69e01775-ca02-45ce-9cd3-1e031e6e22b9 · outbound

This paper cites TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension.

Information Discernment in Large Language Models TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

Reference 8

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no resolver link, observed 2026-08-02T13:26:24.781704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:26:24.781704Z digest=sha256:c9a55f26a346ecc2abe4185fdbe6bbbf524b106bbbb3b0904d4e4c3bd716e676

Observation 40b08fe8-fa99-4622-a8b8-f8a0b01836c3 · outbound

This paper cites Internet-Augmented Dialogue Generation.

Information Discernment in Large Language Models Internet-Augmented Dialogue Generation

Reference 9

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no resolver link, observed 2026-08-02T13:26:24.943776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:26:24.943776Z digest=sha256:f250ce6032030ab9296ec28e29056a8ccc90360569ccdf048a4e9f5dc07d673c

Observation 08d90ece-586a-4660-8637-6c05bab94df0 · outbound

This paper cites Studying Large Language Model Behaviors Under Context-Memory Conflicts With Real Documents.

Information Discernment in Large Language Models Studying Large Language Model Behaviors Under Context-Memory Conflicts With Real Documents

Reference 10

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no resolver link, observed 2026-08-02T13:26:25.069574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:26:25.069574Z digest=sha256:f8407f91f53b2a4ae0d6aa004e8e5233d5d20db345077957a827dd9daaeae038

Observation e2337d4d-22aa-4d5b-af93-1fccc1501442 · outbound

This paper cites Learning Question Classifiers.

Information Discernment in Large Language Models Learning Question Classifiers

Reference 11

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no resolver link, observed 2026-08-02T13:26:25.223860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:26:25.223860Z digest=sha256:7d61939b4c60264d3453494a6455083e1b8a17b8413b7f8b3c78f66fd41ed948

Observation a5986705-e5b9-4275-87f2-8a91caccc614 · outbound

This paper cites Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-trained Language Models.

Information Discernment in Large Language Models Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-trained Language Models

Reference 12

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no resolver link, observed 2026-08-02T13:26:25.258062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:26:25.258062Z digest=sha256:f5aae73835b87c3b1c9af36eca0e8cd9091f612339d00f75e16cb350be4d5db4

Observation 8fd2142a-3120-40cd-8c52-39abbf07cc24 · outbound

This paper cites Reducing misinformation sharing at scale using digital accuracy prompt ads, February 2024.

Information Discernment in Large Language Models Reducing misinformation sharing at scale using digital accuracy prompt ads, February 2024

Reference 13

Resolution
verified exact
doi, observed 2026-08-02T13:28:58.018086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-02T13:26:25.314971Z digest=sha256:d1f32bfe87ba069ac711f03228c7a62dff0b016bd970af8ff65a1cf25f856da3

Observation 8a24220d-74e2-419d-872b-15e0fe48599d · outbound

This paper cites High level of correspondence across different news domain quality rating sets.PNAS Nexus, 2(9):pgad286, September 2023.

Information Discernment in Large Language Models High level of correspondence across different news domain quality rating sets.PNAS Nexus, 2(9):pgad286, September 2023

Reference 14

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no resolver link, observed 2026-08-02T13:26:25.427536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:26:25.427536Z digest=sha256:8b9ae5ecfcbfab80548f81e1293eccb610f1b4db7e6f25fde660bd41e2d168c2

Observation 72bdb43e-a70d-47eb-a37e-f61e27e6a8fc · outbound

This paper cites The Moon is Made of Marshmallows.

Information Discernment in Large Language Models The Moon is Made of Marshmallows

Reference 15

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no resolver link, observed 2026-08-02T13:26:25.540904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:26:25.540904Z digest=sha256:10b402e83cf08673be5a525028b40ff135ca652a7a301a7702d524fbab44b458

Observation c4cd0fad-d5c3-46d9-9d29-856b695487ed · outbound

This paper cites General Social Survey, 2025.

Information Discernment in Large Language Models General Social Survey, 2025

Reference 16

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no resolver link, observed 2026-08-02T13:26:25.617470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:26:25.617470Z digest=sha256:052cf2df29bc2be57d9e2189d285fd2aae02001cd132558a379f3244d53adb6d

Observation 46f6c7ff-eefa-42bd-87ec-734e92384a89 · outbound

This paper cites Attacking Open- domain Question Answering by Injecting Misinformation.

Information Discernment in Large Language Models Attacking Open- domain Question Answering by Injecting Misinformation

Reference 17

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no resolver link, observed 2026-08-02T13:26:25.731576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:26:25.731576Z digest=sha256:fc5074bb04f3add7f1409ca63883f201470f3f4c8c836a0bcc37dab312ac5ff0

Observation cc6b1b18-4780-49c2-919b-bbe5ade5d68e · outbound

This paper cites On the Risk of Misinformation Pollution with Large Language Models.

Information Discernment in Large Language Models On the Risk of Misinformation Pollution with Large Language Models

Reference 18

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no resolver link, observed 2026-08-02T13:26:25.863764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:26:25.863764Z digest=sha256:9e6a2679ea5ca4dbc2efaecbeb7ea7a3692d63c7630f17d598be5db5ae10b865

Observation 782890cf-73c9-4df6-80bf-d49a2673de6e · outbound

This paper cites Who‘s Who: Large Lan- guage Models Meet Knowledge Conflicts in Practice.

Information Discernment in Large Language Models Who‘s Who: Large Lan- guage Models Meet Knowledge Conflicts in Practice

Reference 19

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no resolver link, observed 2026-08-02T13:26:25.968701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:26:25.968701Z digest=sha256:1f63b142729e16cb262b7d234752a7c2f1fe101892afd07b14d0900e5843b9ab

Observation e5805c07-6c15-42df-bb2d-f59734392cb2 · outbound

This paper cites Evaluation of Reliability Criteria for News Publishers with Large Language Models.

Information Discernment in Large Language Models Evaluation of Reliability Criteria for News Publishers with Large Language Models

Reference 20

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no resolver link, observed 2026-08-02T13:26:26.125198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:26:26.125198Z digest=sha256:cace015fd07f09ddde82e85b568c663146a2d6c127f6d30d2bcd0170b315d80b

Observation f07d090d-375a-4152-ad26-b306a029ab47 · outbound

This paper cites NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each Benchmark.

Information Discernment in Large Language Models NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each Benchmark

Reference 21

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no resolver link, observed 2026-08-02T13:26:26.237664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:26:26.237664Z digest=sha256:3e08ca9f04c987faea3bbf91b737d3373eea38966b42e276cad5b95462278eac

Observation 16f95c4d-27b8-4bfa-b30a-d6a57c14ecab · outbound

This paper cites The spread of low-credibility content by social bots.Nature Communications, 9(1):4787, November 2018.

Information Discernment in Large Language Models The spread of low-credibility content by social bots.Nature Communications, 9(1):4787, November 2018

Reference 22

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no resolver link, observed 2026-08-02T13:26:26.341360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:26:26.341360Z digest=sha256:1afdcc108481b458a0d8001cf2eae87a269f2ac508fcab97b434cd43f4be85d5

Observation 3969ce7e-4009-45e7-a108-748d48b281aa · outbound

This paper cites Towards Understanding Sycophancy in Language Models.

Information Discernment in Large Language Models Towards Understanding Sycophancy in Language Models

Reference 23

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no resolver link, observed 2026-08-02T13:26:26.503530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:26:26.503530Z digest=sha256:87b1894a6efa5394dcec81ab0128b135a67e136e9f446766fbd5e78fe16b95b0

Observation 9444d3fd-172a-403f-8c84-4bf3519b1833 · outbound

This paper cites Mayer, and Padhraic Smyth.

Information Discernment in Large Language Models Mayer, and Padhraic Smyth

Reference 24

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no resolver link, observed 2026-08-02T13:26:26.669266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:26:26.669266Z digest=sha256:ec0f6e995f369c74537738ac690cc7db88e7aa030d0925ef9c25fcd6858e22d7

Observation 7175dfde-268d-4c45-b204-692b8bcaf3c6 · outbound

This paper cites FEVER: a large-scale dataset for Fact Extraction and VERification.

Information Discernment in Large Language Models FEVER: a large-scale dataset for Fact Extraction and VERification

Reference 25

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no resolver link, observed 2026-08-02T13:26:26.833545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:26:26.833545Z digest=sha256:4bb325450f9dd623022cedddc4be84bfffba3f33e189292a74f506a1fca7e52d

Observation 25715357-4196-495c-bdbb-ef85e0b16aa9 · outbound

This paper cites Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models.

Information Discernment in Large Language Models Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models

Reference 26

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no resolver link, observed 2026-08-02T13:26:26.999822Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:26:26.999822Z digest=sha256:aa378497ed01e9ff05ece0907031aeecee785b3e4d17b911fc4c8870629d7215

Observation 0c3c4960-c756-4576-b6ec-4b9e55d6d82a · outbound

This paper cites ClashEval: Quantifying the tug-of-war between an LLM's internal prior and external evidence.

Information Discernment in Large Language Models ClashEval: Quantifying the tug-of-war between an LLM's internal prior and external evidence

Reference 27

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no resolver link, observed 2026-08-02T13:26:27.120009Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:26:27.120009Z digest=sha256:17dba08710b76893fa103309701763338527021638457d34a3bac0e514c1baa1

Observation 1275e1b5-6242-4566-9eb9-0a14121ec2d3 · outbound

This paper cites The Earth is Flat because...: Investigating LLMs' Belief towards Misinformation via Persuasive Conversation.

Information Discernment in Large Language Models The Earth is Flat because...: Investigating LLMs' Belief towards Misinformation via Persuasive Conversation

Reference 28

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no resolver link, observed 2026-08-02T13:26:27.229026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:26:27.229026Z digest=sha256:b76967b593090b68767d4de6f83e49b72870292e8caa8e2594c7a01a874741ab

Observation 788711dd-310c-4a14-9c11-a920031406fd · outbound

This paper cites Knowledge Conflicts for LLMs: A Survey.

Information Discernment in Large Language Models Knowledge Conflicts for LLMs: A Survey

Reference 29

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no resolver link, observed 2026-08-02T13:26:27.347237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:26:27.347237Z digest=sha256:6b710d80fe65a27b193c5f2b9e8fa6be03785ce057ae7c0f2956067cc397c8bc

Observation 7bab14bc-c582-44ac-821c-7e502f117296 · outbound

This paper cites Accuracy and Political Bias of News Source Credibility Ratings by Large Language Models, February 2025.

Information Discernment in Large Language Models Accuracy and Political Bias of News Source Credibility Ratings by Large Language Models, February 2025

Reference 30

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no resolver link, observed 2026-08-02T13:26:27.478427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:26:27.478427Z digest=sha256:b62c2df27cc73812b746dee75ed489e33d1fcb995ce75878186df871fcc1c46f

Observation 322d5c44-c7ab-417d-9221-8c2d96b559fe · outbound

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

Information Discernment in Large Language Models Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models

Reference 31

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no resolver link, observed 2026-08-02T13:26:27.643188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:26:27.643188Z digest=sha256:ce3b4ee2f7c928fb6739e4403e5e59cdd962c31ba6aa6d64bf5d5b1da2951227

Observation b296fefb-1d1d-4cfe-aa4d-17364221ece0 · outbound

This paper cites Context-faithful Prompting for Large Language Models.

Information Discernment in Large Language Models Context-faithful Prompting for Large Language Models

Reference 32

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no resolver link, observed 2026-08-02T13:26:27.749590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:26:27.749590Z digest=sha256:3277016abb9be1289f99a548949dc63028ed5f626ef2db9bac2691c43fd50616

Observation fdeac60f-48e5-4e37-823c-2ed31d6e55d0 · outbound

This paper cites an unresolved cited work.

Information Discernment in Large Language Models Unresolved cited work

Reference 33

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no resolver link, observed 2026-08-02T13:26:27.905294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:26:27.905294Z digest=sha256:d847b3aeb095c828d22f6671cd6fe623f08a460b914477919b9588d347ee292e

Observation d04cd2af-6c4a-483b-b1b5-301af319704b · outbound

This paper cites an unresolved cited work.

Information Discernment in Large Language Models Unresolved cited work

Reference 34

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no resolver link, observed 2026-08-02T13:26:28.015328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:26:28.015328Z digest=sha256:6f322e43589ee8973c1872ca70056616e11e1eaf4fc4c70537787ba56953d4f2

Observation 98584fe1-c468-43a9-8465-9525cc0e9583 · outbound

This paper cites an unresolved cited work.

Information Discernment in Large Language Models Unresolved cited work

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:26:28.089527Z digest=sha256:614ff62d6d71f6c86055a7476c196b44a6fcaa48306adabab2cc34135679c442

Observation c3625542-033f-4ab2-9160-98a0b21736e2 · outbound

This paper cites commitment check.

Information Discernment in Large Language Models commitment check

Reference 36

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malformed identifier
no resolver link, observed 2026-08-02T13:26:28.196531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:26:28.196531Z digest=sha256:b747b75a21beb94501d35e8bdbf2a2a689a420f8369d521475a0d57dcbf3a12b

Observation 78082add-684c-4d57-897d-36488a303290 · outbound

This paper cites We obtained informed consent before participants continued.

Information Discernment in Large Language Models We obtained informed consent before participants continued

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:26:28.271210Z digest=sha256:a35770f3c9f99532e462c0ebe4a94b8ca0ea7fdf5e281f4cc5be24b99183dde5

Pith citing papers

Observation 1df49147-41eb-45dd-aaae-df3caa769b53 · inbound

Signal or Spurious Cue? A Randomized Audit of Survey-Country Metadata in LLM Social Inference cites this paper.

Signal or Spurious Cue? A Randomized Audit of Survey-Country Metadata in LLM Social Inference Information Discernment in Large Language Models

Reference 2026

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T15:18:54.851002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:18:52.158408Z digest=sha256:007856d76efc379841bf1c0cd72d669795086d117a09ec0c52f3a242e8b29158