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Paper Citation Record · LEDGER

Mining Fine-Grained Image-Text Alignment for Zero-Shot Captioning via Text-Only Training

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2401.02347.

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

pith.paper-citation-record.v1
2401.02347 v1

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 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-15T14:43:21.866055Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T04:40:53.013194Z

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 c7f47231-468b-4257-81e4-3d833cab7e6e · inbound

NoisyGRPO: Incentivizing Multimodal CoT Reasoning via Noise Injection and Bayesian Estimation cites this paper.

NoisyGRPO: Incentivizing Multimodal CoT Reasoning via Noise Injection and Bayesian Estimation Mining Fine-Grained Image-Text Alignment for Zero-Shot Captioning via Text-Only Training

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:40:53.016164Z

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=2026-05-18T04:39:58.296388Z digest=sha256:ffe375f9c37e8f9685a64c20969014fa974b83bc61d05fde6f722cebf787a44b

Observation 42e539cf-d27a-478c-a954-38630ba99d89 · inbound

Wiki-R1: Incentivizing Multimodal Reasoning for Knowledge-based VQA via Data and Sampling Curriculum cites this paper.

Wiki-R1: Incentivizing Multimodal Reasoning for Knowledge-based VQA via Data and Sampling Curriculum Mining Fine-Grained Image-Text Alignment for Zero-Shot Captioning via Text-Only Training

Reference 22

Resolution
unresolved
no resolver link, observed 2026-07-15T14:43:21.866055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T14:43:21.866055Z digest=sha256:c44e258266ea70b4f0719a5c67c1fac892040241b4df3ff7f87ad34c2d82bb3b

Observation b1fada3b-0e00-4d21-8a8d-5e63c57d3d38 · inbound

WikiCLIP: An Efficient Contrastive Baseline for Open-domain Visual Entity Recognition cites this paper.

WikiCLIP: An Efficient Contrastive Baseline for Open-domain Visual Entity Recognition Mining Fine-Grained Image-Text Alignment for Zero-Shot Captioning via Text-Only Training

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-15T13:15:50.599865Z

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=2026-05-15T13:11:54.384284Z digest=sha256:e4e7563fb49d19f11702caa0ab87334a1b86f0e8b2f27eb200a878fdc7b265ad

Observation 615f414d-85da-4dca-86fc-1eb4a8ac4013 · inbound

WikiCLIP: An Efficient Contrastive Baseline for Open-domain Visual Entity Recognition cites this paper.

WikiCLIP: An Efficient Contrastive Baseline for Open-domain Visual Entity Recognition Mining Fine-Grained Image-Text Alignment for Zero-Shot Captioning via Text-Only Training

Reference 30

Resolution
unresolved
no resolver link, observed 2026-07-14T23:55:24.006436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T23:55:24.006436Z digest=sha256:a04cb2750218cd55db6aaa7289335ccea7e19b20cb61ae9337a5212c2b64e79c