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Paper Citation Record · LEDGER

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

As of 18 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 2026-08-18T06:34:40.430872+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=sha256:486f9c687064300ff5e2e325d61837d63db6ba36a1eb87d7b0b4bc16f97e799e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T20:55:26.870238Z digest=sha256:885ec0960db4ca8f78b91d2842f0da9099638e458b0f9ecc4486f46bed55ebf9

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=sha256:2054936c0f67991ec0e34780ff0c03114ff72fd35e3fa122c6d31dd32c285ab8

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:c97e43ec284640040e5835618b65fad8846a243be820322c67cb9b11ac3bfbc7

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:b4c6d0b4df80eaf5af2485198c57e3a9a11e4db11004ae96c929360d113e2186

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T20:55:26.890744Z digest=sha256:94811adbf7334854ddea02d50395105f5b8069ca308f061c4876d899a078d7a0

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=sha256:511c80566efc42698cea5918c0db63c7c2457f51a544aef47e17a5c8b54a5a56

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=sha256:7ecaedb641f3b762fa8024fd2d4e95e52ff7efe19939f72ff4e493f58e9121fa

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=sha256:2ce18e19ba914634c3cbce6bcbec49e997ddeaba9f28ee92163636f705051b16

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=sha256:5c07b66a5357117742d3a9899dd9466991266869cc1d4863a1bb290cdb200abd

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:c940d8e041ee6c3990fca986717cf7540abe01298708c11c3711976eaff6da19

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T20:55:26.922623Z digest=sha256:6c37c4283bd9ecce1d408158bc3ecc2ee7b97e5c4d2621d39464778a752646d4

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T20:55:26.926858Z digest=sha256:6c5c2108329956bc47c76396deaa0df61a0dd832869fde08a62d3a9a56bc5bcc

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:ee4234e5546ab90a99e5966395f027c9ef55f88b34d359961d9f0b3386447168

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T20:55:26.937857Z digest=sha256:fd0c58ccea78eeb8d1bba7aa0ee5d4ddd28ac892bf0754660b62a7ec5c908ec4

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T20:55:26.942651Z digest=sha256:37e45b9d3b38aae18984a6b4cd60cf22c60167fd16b8739f94a84b27c8cfe24a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T20:55:26.946644Z digest=sha256:22950ace0ba847ddd498e93fa6281fdb6427d7d3ac2e90e3a187c21d443dcbdc

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T20:55:26.952153Z digest=sha256:d84a3d6ebdddc14a4a7371e245bef5d2cc9ffd939e5428323ad0462afe0551db

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=sha256:0c535578adfe0aee2a7bc814bccaf4f10c7bd3555401b55f256eb65572fc316c

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=sha256:03134dba027764e43746bb61859b847f51047d5b7195565440f46443f3523aab

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T22:47:39.110102Z digest=sha256:4d9a6a3f0d309697e1846d650c343481ee6f58652c16ed4c087eaf02285b77d9