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Paper Citation Record · LEDGER

ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2407.14482.

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

pith.paper-citation-record.v1
2407.14482 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:25:39.469668Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T05:57:41.704781Z

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 87846d9c-fc32-44bf-aaaf-86a13702764d · inbound

VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents cites this paper.

VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-16T15:37:25.851519Z

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=2026-05-16T15:37:25.781240Z digest=sha256:a9ad76b32c49225b0350021de20e9252afd18b02c5fb88565d581492c99f9385

Observation b9520cf9-488a-4abe-907a-482ad7fc181a · inbound

A Survey of Scaling in Large Language Model Reasoning cites this paper.

A Survey of Scaling in Large Language Model Reasoning ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities

Reference 236

Resolution
verified exact
arxiv_id, observed 2026-05-22T21:22:09.459621Z

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=2026-05-22T21:20:07.238992Z digest=sha256:8ede5c33e9ee5099cf91d7833a9c1982511e059b413334d66da37820fe394c20

Observation 5d8076fa-8b4d-4b4c-861a-b4ef1cafc3b9 · inbound

RAG or Fine-tuning? A Comparative Study on LCMs-based Code Completion in Industry cites this paper.

RAG or Fine-tuning? A Comparative Study on LCMs-based Code Completion in Industry ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-07T15:25:39.469668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:25:39.469668Z digest=sha256:b6eca2221d090eb9348fac1764e95e82ce6037ea65a6b2fae228de45dbc7600d

Observation c3039525-384c-4cdc-85d6-7470b4e87bc6 · inbound

Optimizing Question Semantic Space for Dynamic Retrieval-Augmented Multi-hop Question Answering cites this paper.

Optimizing Question Semantic Space for Dynamic Retrieval-Augmented Multi-hop Question Answering ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T12:09:37.419022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:09:37.419022Z digest=sha256:7aeb07118e2031eb5a676dc53d5bca288f9ddecf80e41711a501ab505bbcbf43

Observation 8428222d-5ac8-4473-88d2-be6670b00e9e · inbound

FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation cites this paper.

FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T05:03:08.617273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:03:08.617273Z digest=sha256:215cee82f36a9220a6257122904709680f493de5fa41c90bb74feba9b6fe93ec

Observation c2b1f43f-cd5a-443e-a791-24890fea6a78 · inbound

FlexRAG: A Flexible and Comprehensive Framework for Retrieval-Augmented Generation cites this paper.

FlexRAG: A Flexible and Comprehensive Framework for Retrieval-Augmented Generation ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T00:51:21.226766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:51:21.226766Z digest=sha256:18e7dbad56b15e6a9d86e6359053e2e3a7ecd8094e289303c75497c6974685f7

Observation 8e300ee3-8d5c-43b1-aa30-ee6dd9a01cc2 · inbound

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

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T19:24:52.935031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:24:52.935031Z digest=sha256:8cb3448cfd00c0948be4d6bb06c9505630450d527f7c467d97fb652a4587eed1

Observation 4f1735dd-4f94-42a9-9304-23b6ea7908f2 · inbound

Long-Context Modeling with Dynamic Hierarchical Sparse Attention for Memory-Constrained LLM Inference cites this paper.

Long-Context Modeling with Dynamic Hierarchical Sparse Attention for Memory-Constrained LLM Inference ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-04T07:44:16.794770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T07:44:16.794770Z digest=sha256:600052fe5083079625ac642a9b49bc95be6c4f157e6741f106a233f4a47cc26f

Observation 8c369f10-4de9-4c84-b912-941174242528 · inbound

Flux Attention: Context-Aware Hybrid Attention for Efficient LLMs Inference cites this paper.

Flux Attention: Context-Aware Hybrid Attention for Efficient LLMs Inference ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:25:58.230185Z

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=2026-05-10T17:39:18.387881Z digest=sha256:56374268cbc199985fb004ce80576d4554e7653278d466247c755cbfb3e19be8

Observation 2e2d38ab-686c-40d5-9767-8eab73128728 · inbound

End-to-End Context Compression at Scale cites this paper.

End-to-End Context Compression at Scale ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities

Reference 85

Resolution
verified exact
arxiv_id, observed 2026-07-03T01:17:31.543414Z

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=2026-06-27T16:36:54.699174Z digest=sha256:7c64c4391ffc1b00041c15be344b5187fc61cc277ccfe2a290c1907a552f3cf4

Observation e708ab1b-1c80-41dd-85b4-a1c3e825a6a4 · inbound

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes cites this paper.

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities

Reference 277

Resolution
verified exact
arxiv_id, observed 2026-07-03T05:57:41.706421Z

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=2026-06-27T12:59:51.091008Z digest=sha256:9c580de5f60648d0adf06889f10b7b9c5107d7ca8cb38e55faa9579a8e653355