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Paper Citation Record · LEDGER

100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo

As of 20 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 1 inbound Pith citation observation for arXiv:2412.05223.

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

pith.paper-citation-record.v1
2412.05223 v2

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:55:26.961271Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:47:39.110102Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T22:47:39.181263Z

Reference resolution

20 of 20 outbound references displayed

  • verified exact1
  • verified fuzzy3
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6c04f54c-1a93-4240-a4df-f6eafb1da5b7 · outbound

This paper cites A Survey of Hallucination in Large Foundation Models.

100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo A Survey of Hallucination in Large Foundation Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T20:55:26.864507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:55:26.864507Z digest=sha256:5caa2f5a349b3e989742454e8206fc267c4f0a4e628737535e7fb4ff9db49942

Observation 0cf67591-f960-4f9a-87be-8a1e0072e546 · outbound

This paper cites Gpts and hallucination: W hy do large language models hallucinate? Queue, 22(4):19–33, September 2024.

100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo Gpts and hallucination: W hy do large language models hallucinate? Queue, 22(4):19–33, September 2024

Reference 2

Resolution
verified exact
doi, observed 2026-08-11T20:55:26.999472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T20:55:26.870238Z digest=sha256:845dba54ece61adddd57316cddeed034377377651cdd91a19e01474a40292a8f

Observation 817b7e6b-a33c-48f9-bc80-61ecc157ee98 · outbound

This paper cites Factuality challenges in the er a of large language models, 2023.

100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo Factuality challenges in the er a of large language models, 2023

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T20:55:26.874680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:55:26.874680Z digest=sha256:2c3cf637571c755265d34ddc168884b273c1d47836cf2f5546b23d01dc612278

Observation 0f6265e9-df4e-4ed9-87f7-1acffce0daa2 · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T20:55:26.880548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:55:26.880548Z digest=sha256:43e6d264db55116628098de81269484089f9c1633be54f508264cbd8a4f2430d

Observation 865031b5-0315-4a0b-af98-dbdc22c5f2b8 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T20:55:26.885508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:55:26.885508Z digest=sha256:6251d8fa730dd66669b0b7114b61463a80e9d49d9ed32b5008529ba62739d473

Observation 63292fac-71b5-4ac5-93d0-ecc3f45a3ed4 · outbound

This paper cites Long context rag performance of llms, 2024.

100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo Long context rag performance of llms, 2024

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:55:27.505359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T20:55:26.890744Z digest=sha256:9b87cbd64fb041bd0f37775ebfe632b7284fc31b27fb411e20b2f41aaa8e97d9

Observation 3b320a53-dd78-4741-b2fc-b800b5632c8d · outbound

This paper cites TruthfulQA: Measuring How Models Mimic Human Falsehoods.

100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo TruthfulQA: Measuring How Models Mimic Human Falsehoods

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T20:55:26.896057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:55:26.896057Z digest=sha256:bc8d05c87d9a72af6018ef2e3f066bba1f3173bc777eee4d7d38708777b823f9

Observation 3c931fb1-a8f3-46e2-9890-e16ce7c9656d · outbound

This paper cites Measuring short-form factuality in large language models.

100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo Measuring short-form factuality in large language models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T20:55:26.901084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:55:26.901084Z digest=sha256:f4ccc2bfc223cc19fa84dbea30a901381b3c160ff1fa4531c4e60bebe272c18d

Observation b18d3ea0-933f-4745-9ef0-695da675783b · outbound

This paper cites RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems.

100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T20:55:26.906278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:55:26.906278Z digest=sha256:14bb11292ae5dd7c09181f3be1e813fd6af9a94d106a4188377f0d6e9dd89643

Observation b24c164d-a719-4512-bf9b-517db4dbcdcb · outbound

This paper cites RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models.

100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T20:55:26.910959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:55:26.910959Z digest=sha256:1eb7c283007087d056d3208ad1ed056f68b2c2d057ed2951a6a6943008c32381

Observation e969fc75-990e-46ae-a7b1-f45a9e015579 · outbound

This paper cites Scaling and evaluating sparse autoencoders.

100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo Scaling and evaluating sparse autoencoders

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T20:55:26.915370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:55:26.915370Z digest=sha256:56182993845e7ad7ab2bbb16ab332ddecd48196cc63dc193e60215421acddd25

Observation fdb8e193-3e43-48a4-817c-071eb33095b3 · outbound

This paper cites Scaling monosemanticity: Extracting inte r- pretable features from claude 3 sonnet, 2024.

100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo Scaling monosemanticity: Extracting inte r- pretable features from claude 3 sonnet, 2024

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:55:27.469253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T20:55:26.922623Z digest=sha256:4ced86cf0b2d7d8c73a3af640e8d751a9554a701df9f6b591726f4a855c72fc4

Observation a5e712b6-bfef-4eca-96a8-0233c09d0630 · outbound

This paper cites an unresolved cited work.

100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:55:27.444911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T20:55:26.926858Z digest=sha256:8a4d286f8fdb806b5a07550f970c09e9330ad88e6befcdb5e6e671b440507ce7

Observation 57936532-64f8-4f30-a6c6-67db7e43e9d5 · outbound

This paper cites Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering.

100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T20:55:26.931645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:55:26.931645Z digest=sha256:15b664447e0e8775e1d8b452caf4795f07b688e6ae5ef85bd941085b10341172

Observation 997f208a-13e4-4621-9361-e578e33eb3ef · outbound

This paper cites an unresolved cited work.

100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:55:27.420906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T20:55:26.937857Z digest=sha256:cbfe099a74386c1f2f274d7870d01dbd9436a2ffdfd9d7f47a76bae5d9f1d62b

Observation 18396f51-003f-4f2e-a7e0-cefc7ab3181d · outbound

This paper cites an unresolved cited work.

100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:55:27.397365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T20:55:26.942651Z digest=sha256:f8dfd08d3d30f5f271aa12a4cf10467e28bfbce9a2aa2e489b49dc9fed38a35e

Observation a6dc9e1a-0ce1-4328-896b-4f8510d86d87 · outbound

This paper cites an unresolved cited work.

100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:55:27.379770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T20:55:26.946644Z digest=sha256:88f4de26531cc8934b1b5363510038f1ff49b3f73f56b395615952a2b8f5c60c

Observation add29f5a-b62b-4a0a-a0ab-3ebabce99786 · outbound

This paper cites Bhattacharyya.

100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo Bhattacharyya

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:55:27.362093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T20:55:26.952153Z digest=sha256:d194dc8921cc244bb6ed15c0c1d2abb5c3e4242e3c4fb8138f4adefea78f7b9f

Observation 928ab6be-f834-49d9-bd75-fa707086fbef · outbound

This paper cites In Defense of RAG in the Era of Long-Context Language Models.

100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo In Defense of RAG in the Era of Long-Context Language Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T20:55:26.956672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:55:26.956672Z digest=sha256:84463be8d2b1ed3774aa8cb83c8147a5fbec290473c833103ec59aca0ea9fc06

Observation 3f7390db-9abc-4d8b-b0ab-b4a992ad50e3 · outbound

This paper cites LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs.

100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T20:55:26.961271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:55:26.961271Z digest=sha256:e13113d4c2282ff12be203099c575bd841b3728024c536e600276fc99f2518c4

Pith citing papers

Observation 5211a21a-3dc3-46b3-a199-89ca6ceaa98c · inbound

Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables cites this paper.

Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables 100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo

Reference 29

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T22:47:39.187886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T22:47:39.110102Z digest=sha256:cbc7f9d5bbfce352b7c1a09b93d668038cf898fb2262d9a6e145831950f5c093