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Paper Citation Record · LEDGER

Analyzing the Efficacy of an LLM-Only Approach for Image-based Document Question Answering

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2309.14389.

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

pith.paper-citation-record.v1
2309.14389 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-15T19:09:41.482713Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T19:10:15.551622Z

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 560c9704-dbc2-4fc6-9670-2887c366be30 · inbound

MoDora: Tree-Based Semi-Structured Document Analysis System cites this paper.

MoDora: Tree-Based Semi-Structured Document Analysis System Analyzing the Efficacy of an LLM-Only Approach for Image-based Document Question Answering

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-15T19:10:15.555820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T19:09:41.482713Z digest=sha256:b96132e796ffc1959a32b7e6b360d2f02db2641e8070238c529eee8660fb9a91

Observation 31870581-0b35-4fca-940a-840fe1fe3deb · inbound

Do Vision Language Models Need to Process Image Tokens? cites this paper.

Do Vision Language Models Need to Process Image Tokens? Analyzing the Efficacy of an LLM-Only Approach for Image-based Document Question Answering

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:35:50.673940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:26:37.371488Z digest=sha256:24ac2a5f760b86e6cc333ffe486e28038046eb7c31be5d2fcf7f35365c443c68