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Paper Citation Record · LEDGER

ChatQA: Surpassing GPT-4 on Conversational QA and RAG

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2401.10225.

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

pith.paper-citation-record.v1
2401.10225 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:29:58.461292Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T12:54:40.235724Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f63e6213-38be-4f98-bfd1-aecef00c9c7a · inbound

NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models cites this paper.

NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models ChatQA: Surpassing GPT-4 on Conversational QA and RAG

Reference 38

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T21:15:16.365401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-14T21:15:16.112918Z digest=sha256:a2b8c36e4e4b612003eaee77388212466e909f20e6ffbd3c522498879495ddf0

Observation 910deb4a-367f-4ba3-9529-326a03e515ee · inbound

VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction cites this paper.

VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction ChatQA: Surpassing GPT-4 on Conversational QA and RAG

Reference 46

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T21:08:19.695368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T21:08:19.570050Z digest=sha256:ed429374a333788e6a53a9c598549f411035a8a506203be0cafe0cc467b080aa

Observation 79793977-576d-478b-9134-474a236cc3b4 · inbound

JARVIS: A Multi-Agent Code Assistant for High-Quality EDA Script Generation cites this paper.

JARVIS: A Multi-Agent Code Assistant for High-Quality EDA Script Generation ChatQA: Surpassing GPT-4 on Conversational QA and RAG

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T15:29:58.461292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:29:58.461292Z digest=sha256:ecedd3c7bc31c76557cf8d49bd5cadccf9a25e2655f58500f899616f8230a583

Observation 31cc3cf0-3695-4780-ab21-dec89dfa84e9 · inbound

Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers cites this paper.

Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers ChatQA: Surpassing GPT-4 on Conversational QA and RAG

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T14:05:16.838616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:05:16.838616Z digest=sha256:35fef4fbdf073002016b05e611345216fc80eeb9c83b9d6496b11089c5426d3f

Observation acbf02fc-6cd5-4dc2-9dc0-14ffdceefad5 · inbound

PDF Retrieval Augmented Question Answering cites this paper.

PDF Retrieval Augmented Question Answering ChatQA: Surpassing GPT-4 on Conversational QA and RAG

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:22:11.226926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T08:17:19.048914Z digest=sha256:0676e2bf00d08682fa099457771b8081b0917bf79d62149dcdbb3ce521ca0125

Observation 0e1fcf93-988f-465b-a8a3-acc6eb8bf42f · inbound

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation cites this paper.

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation ChatQA: Surpassing GPT-4 on Conversational QA and RAG

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T19:24:51.379621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:24:51.379621Z digest=sha256:63e197aa98978dc02ddd2e0c7788e59a0b83683a20a50971bb7bccafb0c282da

Observation 2ec0ecb9-9bd5-4944-85f3-384ec41f4e74 · inbound

UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations cites this paper.

UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations ChatQA: Surpassing GPT-4 on Conversational QA and RAG

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T18:53:27.200392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:53:27.200392Z digest=sha256:12278deb222caf03601a42afc6450906232d940cb968dbc67886436405a1b8ea

Observation f839504e-db26-4a4e-8617-667c6d75c5a8 · inbound

A Survey of the State-of-the-Art in Conversational Question Answering Systems cites this paper.

A Survey of the State-of-the-Art in Conversational Question Answering Systems ChatQA: Surpassing GPT-4 on Conversational QA and RAG

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-05T05:11:20.716500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:11:20.716500Z digest=sha256:31bd2223bbe86367b5d2910f11330725a5cdcc0509edc04fcf7a969d09c7d97e

Observation 7de0a28d-e28c-41ca-9902-a8a1b4d46a0d · inbound

SPEED-Bench: A Unified and Diverse Benchmark for Speculative Decoding cites this paper.

SPEED-Bench: A Unified and Diverse Benchmark for Speculative Decoding ChatQA: Surpassing GPT-4 on Conversational QA and RAG

Reference 29

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T03:17:12.581867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-16T03:13:37.202362Z digest=sha256:5209f6460125bc1592272c85b7f3142cd48ec6f21d392960535247517927cbb8

Observation 96b0a308-9258-4143-8638-4fd31920efcd · inbound

SPEED-Bench: A Unified and Diverse Benchmark for Speculative Decoding cites this paper.

SPEED-Bench: A Unified and Diverse Benchmark for Speculative Decoding ChatQA: Surpassing GPT-4 on Conversational QA and RAG

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-03T02:40:56.566549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T02:40:56.566549Z digest=sha256:d4ddf153099ead4daf1d711095f7605a5ef836663ad29ca771c412fefcdccce7

Observation c31fbe16-0bcf-48c9-b29f-eac7a95ba8ae · inbound

5ting at SemEval-2026 Task 8: Strong End-to-End Multi-Turn RAG via LLM-Based Reranking and Faithfulness Control cites this paper.

5ting at SemEval-2026 Task 8: Strong End-to-End Multi-Turn RAG via LLM-Based Reranking and Faithfulness Control ChatQA: Surpassing GPT-4 on Conversational QA and RAG

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:54:40.237272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-30T10:06:44.776800Z digest=sha256:1e247d094fa0b89aa3741f3abf83e3d2d9c1295fd8d9a9bb37d2c3b192616ea4

Observation d41f6094-d82f-4a21-a6b5-0694840d7b59 · inbound

Opti-Q: A Constraint-Based Optimization Framework for Multi-LLM Question Planning cites this paper.

Opti-Q: A Constraint-Based Optimization Framework for Multi-LLM Question Planning ChatQA: Surpassing GPT-4 on Conversational QA and RAG

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-02T11:01:31.933576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:01:31.933576Z digest=sha256:6653885bf3267800f3f9c503b28be0bb7281b74e06abbf02335b6d7cd2165a39