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Paper Citation Record · LEDGER

DOCBENCH: A Benchmark for Evaluating LLM-based Document Reading Systems

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2407.10701.

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

pith.paper-citation-record.v1
2407.10701 v1

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 2026-08-09T06:31:02.800959+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:46:10.706308Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T02:27:34.567911Z

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 7e7bf9a0-365a-4b9d-9ba1-a2f3e52f2302 · inbound

Human-AI Collaborative Game Testing with Vision Language Models cites this paper.

Human-AI Collaborative Game Testing with Vision Language Models DOCBENCH: A Benchmark for Evaluating LLM-based Document Reading Systems

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-23T05:07:34.834370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T05:07:12.230949Z digest=sha256:7979ffc9b715bcbddace6bdac201a7e6c4c99e8314604405e5f1681ded14ad54

Observation 705b498d-c68e-405e-a032-52a51075e0e6 · inbound

CXXCrafter: An LLM-Based Agent for Automated C/C++ Open Source Software Building cites this paper.

CXXCrafter: An LLM-Based Agent for Automated C/C++ Open Source Software Building DOCBENCH: A Benchmark for Evaluating LLM-based Document Reading Systems

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T13:46:10.706308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:46:10.706308Z digest=sha256:4de51cc922f9b3a4929f2b92d5c97aab0d29ab75c9041ba821a42b3cbe3bf984

Observation bcd86f95-5c92-4922-8223-25f2e5715db1 · inbound

Evaluating Hierarchical Clinical Document Classification Using Reasoning-Based LLMs cites this paper.

Evaluating Hierarchical Clinical Document Classification Using Reasoning-Based LLMs DOCBENCH: A Benchmark for Evaluating LLM-based Document Reading Systems

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:51.898536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:51.898536Z digest=sha256:c9910f610733aed20cd5ddbc75fff9a743259d545032c6727fdf4309f72c4813

Observation b9ef2d08-6c17-497f-8590-967070864089 · inbound

MMGraphRAG: Bridging Vision and Language with Interpretable Multimodal Knowledge Graphs cites this paper.

MMGraphRAG: Bridging Vision and Language with Interpretable Multimodal Knowledge Graphs DOCBENCH: A Benchmark for Evaluating LLM-based Document Reading Systems

Reference 73

Resolution
malformed identifier
no resolver link, observed 2026-08-06T13:20:35.937492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:20:35.937492Z digest=sha256:93f4b1b01d7e9be684675e0460d27b6efcfa00988a5e13fba9c8485e72755128

Observation 63007fac-a14c-4a71-8524-8748ffb42dc9 · inbound

Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training cites this paper.

Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training DOCBENCH: A Benchmark for Evaluating LLM-based Document Reading Systems

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T01:51:57.892670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T01:50:30.626249Z digest=sha256:5edf70230e68df5d94be967b82ca899264aa4b06d0121db921b8c72688271a5f

Observation d4a09b5c-23ea-4790-83d9-c36fd9a11139 · inbound

T-GRAG: A Dynamic GraphRAG Framework for Resolving Temporal Conflicts and Redundancy in Knowledge Retrieval cites this paper.

T-GRAG: A Dynamic GraphRAG Framework for Resolving Temporal Conflicts and Redundancy in Knowledge Retrieval DOCBENCH: A Benchmark for Evaluating LLM-based Document Reading Systems

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T05:31:00.887878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:31:00.887878Z digest=sha256:c253eaa19e298b6159d75e357bc9abf1d4d4a4e3bccd6ad21f2241891bbc5015

Observation a7068012-6c16-455a-ba9a-a227db41d7bb · inbound

Multi-Modal Vision vs. Text-Based Parsing: Benchmarking LLM Strategies for Invoice Processing cites this paper.

Multi-Modal Vision vs. Text-Based Parsing: Benchmarking LLM Strategies for Invoice Processing DOCBENCH: A Benchmark for Evaluating LLM-based Document Reading Systems

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-05T14:20:24.762308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:20:24.762308Z digest=sha256:f3088c78e320c1a713911582d5454370dc6231017e168b76372f37a6887d2ba2

Observation 2045e6cb-9c90-4e50-b64d-2a8b5d9aa46d · inbound

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark cites this paper.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark DOCBENCH: A Benchmark for Evaluating LLM-based Document Reading Systems

Reference 81

Resolution
malformed identifier
arxiv_id, observed 2026-06-29T08:13:15.078791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T08:09:41.068000Z digest=sha256:98518628d893c9c54dd495ed61be8d1130940e328dca4a0d7b164491488d4c28

Observation 9a2f8cae-0abe-4419-a202-3e37a5e4256d · inbound

ATTAIN: Automated Exploit Failure Analysis through Trace-Driven Diff Analysis cites this paper.

ATTAIN: Automated Exploit Failure Analysis through Trace-Driven Diff Analysis DOCBENCH: A Benchmark for Evaluating LLM-based Document Reading Systems

Reference 74

Resolution
verified exact
arxiv_id, observed 2026-07-03T02:27:34.569547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T15:57:55.340084Z digest=sha256:87cb641e148fb78bc1a5fd09c63b1bde8409582d71d3a69487f55bbd321116f0

Observation 3730863f-a7ca-4496-9372-c66912d8d54a · inbound

Hybrid Retriever Evolution for Multimodal Document Reasoning Agents cites this paper.

Hybrid Retriever Evolution for Multimodal Document Reasoning Agents DOCBENCH: A Benchmark for Evaluating LLM-based Document Reading Systems

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T07:04:21.634360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-30T06:58:56.930942Z digest=sha256:9dd81d2778d8ce120f6a4ed9cd31f4935819a2c8e3677cc2d2097376de356d20

Observation 8b3b8983-6390-4ba2-9103-ee8bec895b25 · inbound

GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents cites this paper.

GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents DOCBENCH: A Benchmark for Evaluating LLM-based Document Reading Systems

Reference 40

Resolution
unresolved
no resolver link, observed 2026-07-14T06:23:12.367769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T06:23:12.367769Z digest=sha256:88a30901e6184e7f8b19f65439319db71b69524d3a9c5f2e13e70b577d1d0971

Observation bfd442fb-a8db-4fb9-8d76-8b659cd90987 · inbound

GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents cites this paper.

GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents DOCBENCH: A Benchmark for Evaluating LLM-based Document Reading Systems

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-02T06:59:50.917441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:59:50.917441Z digest=sha256:8a47f5269db13175d8bb014c195ace383bbd5e2462aebf92d0b1e0709e84a1fd