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Paper Citation Record · LEDGER

ClearCLIP: Decomposing CLIP Representations for Dense Vision-Language Inference

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2407.12442.

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

pith.paper-citation-record.v1
2407.12442 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:53:54.496480Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T21:43:28.684801Z

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 1d73ca2e-2d06-433e-bf66-3189fc8f657f · inbound

ReCLIP++: Learn to Rectify the Bias of CLIP for Unsupervised Semantic Segmentation cites this paper.

ReCLIP++: Learn to Rectify the Bias of CLIP for Unsupervised Semantic Segmentation ClearCLIP: Decomposing CLIP Representations for Dense Vision-Language Inference

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-23T21:43:28.691444Z

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=2026-05-23T21:42:34.305164Z digest=sha256:91bb7a164480cb82cdbd12396c96c4abd43df076caa2f6f6cd468f18352dc501

Observation dd7ce8bf-859c-472a-8597-aa47c66b4327 · inbound

Rethinking the Global Knowledge of CLIP in Training-Free Open-Vocabulary Semantic Segmentation cites this paper.

Rethinking the Global Knowledge of CLIP in Training-Free Open-Vocabulary Semantic Segmentation ClearCLIP: Decomposing CLIP Representations for Dense Vision-Language Inference

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-23T04:35:23.278056Z

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=2026-05-23T04:33:51.883348Z digest=sha256:b0535ea75bdb7bbfdfcf70cd5ee89740b4dba26816549aa48442f9a755cb74da

Observation 74191755-eadb-482b-b6ca-eef4d0a76412 · inbound

Rethinking the Global Knowledge of CLIP in Training-Free Open-Vocabulary Semantic Segmentation cites this paper.

Rethinking the Global Knowledge of CLIP in Training-Free Open-Vocabulary Semantic Segmentation ClearCLIP: Decomposing CLIP Representations for Dense Vision-Language Inference

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-09T10:53:54.496480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T10:53:54.496480Z digest=sha256:05e5b605cd33a033e1bdccc8de5b56329327fb813c2a9102d1ce3dee7475fa4d

Observation 41ac7d0c-10f7-4c94-82b0-dd1517596ae3 · inbound

Single Domain Generalization for Few-Shot Counting via Universal Representation Matching cites this paper.

Single Domain Generalization for Few-Shot Counting via Universal Representation Matching ClearCLIP: Decomposing CLIP Representations for Dense Vision-Language Inference

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T14:58:56.316279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:58:56.316279Z digest=sha256:1e225f54e6f3d9527c8adaf9534345304c3073799841c86752c5450101bcb308

Observation 8e55e445-7107-4088-b075-769e426d8bab · inbound

MARBLE: Material Recomposition and Blending in CLIP-Space cites this paper.

MARBLE: Material Recomposition and Blending in CLIP-Space ClearCLIP: Decomposing CLIP Representations for Dense Vision-Language Inference

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T10:26:00.474524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:26:00.474524Z digest=sha256:51ae4a20e7c93381ab7b25a1960e39a459ba67503db672825b3122f0aad9f9b6

Observation 1a54c288-6e1e-4028-a99c-ad479f2bbcc4 · inbound

Bridge Feature Matching and Cross-Modal Alignment with Mutual-filtering for Zero-shot Anomaly Detection cites this paper.

Bridge Feature Matching and Cross-Modal Alignment with Mutual-filtering for Zero-shot Anomaly Detection ClearCLIP: Decomposing CLIP Representations for Dense Vision-Language Inference

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T17:27:15.609442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:27:15.609442Z digest=sha256:2b056966924beb0779f37645d04f716cec4f6341c579ebc730d14974578ef405

Observation c1621a8f-eb6d-481f-8c7a-ff0aab5ac66a · inbound

Annotation-Free Open-Vocabulary Segmentation for Remote-Sensing Images cites this paper.

Annotation-Free Open-Vocabulary Segmentation for Remote-Sensing Images ClearCLIP: Decomposing CLIP Representations for Dense Vision-Language Inference

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-05T16:41:45.551955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:41:45.551955Z digest=sha256:c995ee651fa1ef3f754093a2e63a8792b752f2d3bc51cb7709601c539ce390f2

Observation 603f27bc-08f2-4cdf-ad3a-dea061a70b7d · inbound

Plug-in Feedback Self-adaptive Attention in CLIP for Training-free Open-Vocabulary Segmentation cites this paper.

Plug-in Feedback Self-adaptive Attention in CLIP for Training-free Open-Vocabulary Segmentation ClearCLIP: Decomposing CLIP Representations for Dense Vision-Language Inference

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-05T15:18:44.355578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:18:44.355578Z digest=sha256:4ead649ba8eb8d5327a7ab2b3d40e62dfbf97c9391a66fcf929fe611f2f439bb

Observation 8b2aff63-856e-425b-8163-be6df4b3c8f2 · inbound

SegEarth-OV3: Exploring SAM 3 for Open-Vocabulary Semantic Segmentation in Remote Sensing Images cites this paper.

SegEarth-OV3: Exploring SAM 3 for Open-Vocabulary Semantic Segmentation in Remote Sensing Images ClearCLIP: Decomposing CLIP Representations for Dense Vision-Language Inference

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-16T23:53:42.296301Z

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=2026-05-16T23:53:27.350335Z digest=sha256:8f2147c5714eabfa4f363f3ad2d12f0045da63a41ac93d42aadfa209d22ab48f

Observation 33b53525-e1cc-405f-8c12-c178e005f3dd · inbound

The Hyperspherical Geometry of CLIP Latent Space: A Semantic Mixture Model cites this paper.

The Hyperspherical Geometry of CLIP Latent Space: A Semantic Mixture Model ClearCLIP: Decomposing CLIP Representations for Dense Vision-Language Inference

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-02T04:33:53.021547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:33:53.021547Z digest=sha256:68cc00f305efd1f0a8c1f31cf358a7c74cf3b72cc9c4fb4a04494a913bfbfa9f