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Paper Citation Record · LEDGER

Finer: Investigating and Enhancing Fine-Grained Visual Concept Recognition in Large Vision Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.16315.

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

pith.paper-citation-record.v1
2402.16315 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:36:01.302479Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:25:31.501889Z

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 2a0e8522-27cb-48d4-97dd-5eb5c574748c · inbound

Response Wide Shut? Surprising Observations in Basic Vision Language Model Capabilities cites this paper.

Response Wide Shut? Surprising Observations in Basic Vision Language Model Capabilities Finer: Investigating and Enhancing Fine-Grained Visual Concept Recognition in Large Vision Language Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T18:36:01.302479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:36:01.302479Z digest=sha256:91d1c17c7e0933ead62f3c4d0ba95c5dcd468637c7a9f7a6210e2c0f2f3e3887

Observation fcae1e76-f45e-46cf-9fb3-b39ab4503c61 · inbound

SoftPipe: A Soft-Guided Reinforcement Learning Framework for Automated Data Preparation cites this paper.

SoftPipe: A Soft-Guided Reinforcement Learning Framework for Automated Data Preparation Finer: Investigating and Enhancing Fine-Grained Visual Concept Recognition in Large Vision Language Models

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:25:31.507449Z

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=2026-08-06T16:25:31.394641Z digest=sha256:59ffc2cef30d4d45d52cb44c20e89942fa4db7b06c37abcf162a9c501aa302e3

Observation b950a0fc-53e8-4272-beb0-52eedc27d30f · inbound

NarrativeTrack: Evaluating Entity-Centric Reasoning for Narrative Understanding cites this paper.

NarrativeTrack: Evaluating Entity-Centric Reasoning for Narrative Understanding Finer: Investigating and Enhancing Fine-Grained Visual Concept Recognition in Large Vision Language Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-03T13:01:58.682634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:01:58.682634Z digest=sha256:9f17290f86fa91db2c90d0f0374110e7e6f1bf68c5ca0806a07c45725d8801a6

Observation df276695-4726-4669-b557-c8617313a1d8 · inbound

NarrativeTrack: Evaluating Entity-Centric Reasoning for Narrative Understanding cites this paper.

NarrativeTrack: Evaluating Entity-Centric Reasoning for Narrative Understanding Finer: Investigating and Enhancing Fine-Grained Visual Concept Recognition in Large Vision Language Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-04T06:36:33.831821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:36:33.831821Z digest=sha256:35a506684b3cb112afc4be3b40354f284bf8070ed1306466f02e1d658eb26755