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Paper Citation Record · LEDGER

Sentence-level Prompts Benefit Composed Image Retrieval

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2310.05473.

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

pith.paper-citation-record.v1
2310.05473 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:14:37.507304Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:29:30.569618Z

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 81136f15-2be0-4adf-8409-348d109159ba · inbound

MLLM-Guided VLM Fine-Tuning with Joint Inference for Zero-Shot Composed Image Retrieval cites this paper.

MLLM-Guided VLM Fine-Tuning with Joint Inference for Zero-Shot Composed Image Retrieval Sentence-level Prompts Benefit Composed Image Retrieval

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T14:14:37.507304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:14:37.507304Z digest=sha256:f9b8e4f7364ba5c1b81dea6c822fe61428b6c98b4fe7734cc8bf342b2de46d8c

Observation 301e70e5-0c60-4b16-bd29-1a0d622023ad · inbound

Multimodal Reasoning Agent for Zero-Shot Composed Image Retrieval cites this paper.

Multimodal Reasoning Agent for Zero-Shot Composed Image Retrieval Sentence-level Prompts Benefit Composed Image Retrieval

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T14:07:35.796615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:07:35.796615Z digest=sha256:09f147ca6f84e4509fbbcee4a747859c58fd55e754d841c83d43cfe376c4e68b

Observation 14a0a7a0-8ab5-40fb-9565-03f4dc164bf4 · inbound

Stealthy and Adjustable Text-Guided Backdoor Attacks on Multimodal Pretrained Models cites this paper.

Stealthy and Adjustable Text-Guided Backdoor Attacks on Multimodal Pretrained Models Sentence-level Prompts Benefit Composed Image Retrieval

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:15:51.424003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T20:01:57.909924Z digest=sha256:bc06684a0aff94aba6bed483f9e898ee55767584ab7a5f1ee9747f456959d99a

Observation 1a122b99-41f6-41cf-8117-8af19d94a309 · inbound

IMAGINE: Adaptive Schema-Imagery Enhanced Composition for Composed Video Retrieval cites this paper.

IMAGINE: Adaptive Schema-Imagery Enhanced Composition for Composed Video Retrieval Sentence-level Prompts Benefit Composed Image Retrieval

Reference 109

Resolution
verified exact
arxiv_id, observed 2026-07-02T21:17:24.798201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T19:50:42.757895Z digest=sha256:0c89f0ba9cc7df876359513237833dc986137ebce82c73eaa68f32172381ae7c

Observation 090e8e8e-5d34-4925-8b21-6407c3a0f90f · 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 Sentence-level Prompts Benefit Composed Image Retrieval

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:29:30.572204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T18:00:34.452488Z digest=sha256:2fa0b55314374f015561beb188d01d7914c37d3969af6df611c5e5ff6730a596