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Paper Citation Record · LEDGER

Improving Composed Image Retrieval via Contrastive Learning with Scaling Positives and Negatives

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2404.11317.

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

pith.paper-citation-record.v1
2404.11317 v2

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 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:52:22.452008Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:29:30.557076Z

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 bd98ba45-d78f-4e3a-81ca-e740ba7427c5 · inbound

Fashion Image-to-Image Translation for Complementary Item Retrieval cites this paper.

Fashion Image-to-Image Translation for Complementary Item Retrieval Improving Composed Image Retrieval via Contrastive Learning with Scaling Positives and Negatives

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-23T22:23:31.242418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T22:22:47.889637Z digest=sha256:ea7ed35f1809e12750b5c240ecf75a2e2c03dc529612fa9c2552c45ee407b6ee

Observation e70cfa85-122e-42d1-b479-d5740422e735 · inbound

QuRe: Query-Relevant Retrieval through Hard Negative Sampling in Composed Image Retrieval cites this paper.

QuRe: Query-Relevant Retrieval through Hard Negative Sampling in Composed Image Retrieval Improving Composed Image Retrieval via Contrastive Learning with Scaling Positives and Negatives

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T16:52:22.452008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:52:22.452008Z digest=sha256:76be893322822d42526d71ef338a9ff053a3cd34e18e2e421f7f522094ab5f30

Observation 0bc740ce-09db-4717-83d1-a4ff1a35d2f5 · inbound

A Sanity Check on Composed Image Retrieval cites this paper.

A Sanity Check on Composed Image Retrieval Improving Composed Image Retrieval via Contrastive Learning with Scaling Positives and Negatives

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:36:05.652592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T15:24:27.497284Z digest=sha256:d0a2c5893a849bbde0d806ed8a76b9ca66f40b70de1f81fb72558ffc292abe93

Observation 36a25b6b-f030-4414-b13b-f0058c87382a · inbound

Exploring Multi-Modal Large Language Models and Two-Stage Fine-Tuning for Fashion Image Retrieval cites this paper.

Exploring Multi-Modal Large Language Models and Two-Stage Fine-Tuning for Fashion Image Retrieval Improving Composed Image Retrieval via Contrastive Learning with Scaling Positives and Negatives

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:29:30.559362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T18:00:34.452488Z digest=sha256:8285b5656ce38b225cbb7d9a8da421076277a5780a04185c5b440fae38e8bb7c