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Paper Citation Record · LEDGER

Enhancing CLIP Conceptual Embedding through Knowledge Distillation

As of 17 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2412.03513.

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

pith.paper-citation-record.v1
2412.03513 v2

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:24:06.788727Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

17 of 17 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 13ec0a32-35b0-4793-b0bf-0918a3b712f2 · outbound

This paper cites Knowledge Distillation from Internal Representations.

Enhancing CLIP Conceptual Embedding through Knowledge Distillation Knowledge Distillation from Internal Representations

Reference 1

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no resolver link, observed 2026-08-11T22:24:06.722773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:24:06.722773Z digest=sha256:6e2ae48c4f447f87a1a7d3ffb16df8519cb771421b39108ee03327bc05934607

Observation 35881b1d-5b70-4877-a0be-9db346d04fa3 · outbound

This paper cites Do Deep Nets Really Need to be Deep?.

Enhancing CLIP Conceptual Embedding through Knowledge Distillation Do Deep Nets Really Need to be Deep?

Reference 2

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no resolver link, observed 2026-08-11T22:24:06.727634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:24:06.727634Z digest=sha256:128d2080cf131c6772b1c1760dcf7b5b9dfb2d50b279d39e5792427db15f7c44

Observation a0a06ef4-5215-4702-b268-a15f8565f823 · outbound

This paper cites Benchmarking Spatial Relationships in Text-to-Image Generation.

Enhancing CLIP Conceptual Embedding through Knowledge Distillation Benchmarking Spatial Relationships in Text-to-Image Generation

Reference 3

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unresolved
no resolver link, observed 2026-08-11T22:24:06.731834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:24:06.731834Z digest=sha256:1ac5f85c0c6bade7c25709d7d7ebafdb4d126554565108a7051dfc556211ccae

Observation 76adfcd2-8fb9-4e3c-8556-8c434a859e0c · outbound

This paper cites an unresolved cited work.

Enhancing CLIP Conceptual Embedding through Knowledge Distillation Unresolved cited work

Reference 4

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no resolver link, observed 2026-08-11T22:24:06.736142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:24:06.736142Z digest=sha256:f6ee6625a7b04ba56de19383203e4ef4ccdd9d4dbb98b151a9f1517a472fe287

Observation 087af6c0-b93b-4adb-87ef-7074ef5f4f58 · outbound

This paper cites TinyBERT: Distilling BERT for Natural Language Understanding.

Enhancing CLIP Conceptual Embedding through Knowledge Distillation TinyBERT: Distilling BERT for Natural Language Understanding

Reference 5

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no resolver link, observed 2026-08-11T22:24:06.740158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:24:06.740158Z digest=sha256:6ec8caf31e67d13038a170e19803c4970f5179b4f0a4bbe3273629a5128fd393

Observation 7f7f135c-6b80-4c70-b083-f897bfa98c23 · outbound

This paper cites Text encoders bottleneck compositionality in contrastive vision-language models.

Enhancing CLIP Conceptual Embedding through Knowledge Distillation Text encoders bottleneck compositionality in contrastive vision-language models

Reference 6

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unresolved
no resolver link, observed 2026-08-11T22:24:06.744349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:24:06.744349Z digest=sha256:7e8145ecb1d0f4c05f9e0674a6ddb5407e10901216d0ff9f0100f1f97d6946be

Observation dc0e7c27-9317-4d96-b877-43ec2caeae94 · outbound

This paper cites Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation.

Enhancing CLIP Conceptual Embedding through Knowledge Distillation Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:24:06.748831Z digest=sha256:f038f9f2fbbc9e5bc3d9fbc624e94904b9962862424f3c99dade8e9fdfa5f6df

Observation e789e2cf-3500-40c0-bba7-b700658f7607 · outbound

This paper cites an unresolved cited work.

Enhancing CLIP Conceptual Embedding through Knowledge Distillation Unresolved cited work

Reference 8

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unresolved
raw_fallback, observed 2026-08-11T22:24:06.971100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T22:24:06.752891Z digest=sha256:8bc834eda7fbb7c8f0909cab51813d21f46bf1b40e6be4407eb55f291b10d705

Observation 133db7c9-7cb1-4d68-a032-e4e15956ee6e · outbound

This paper cites an unresolved cited work.

Enhancing CLIP Conceptual Embedding through Knowledge Distillation Unresolved cited work

Reference 9

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no resolver link, observed 2026-08-11T22:24:06.756635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:24:06.756635Z digest=sha256:ea95d9d0205839bff750b73f7610a59b287abe2c2092617f8501051a397ee92b

Observation 0ade66f6-e0f5-442c-9fe1-4dbcc5e592af · outbound

This paper cites FitNets: Hints for Thin Deep Nets.

Enhancing CLIP Conceptual Embedding through Knowledge Distillation FitNets: Hints for Thin Deep Nets

Reference 10

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no resolver link, observed 2026-08-11T22:24:06.760196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:24:06.760196Z digest=sha256:059de138243a02623f31f54af3d9af1a465670ddfd3b7f321f63f5d1020de8f1

Observation efa37557-38fb-4dfb-a641-5713c1c5cc24 · outbound

This paper cites Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality.

Enhancing CLIP Conceptual Embedding through Knowledge Distillation Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality

Reference 11

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no resolver link, observed 2026-08-11T22:24:06.764337Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:24:06.764337Z digest=sha256:b113920475c0028b56e7e34200ecd80ed7654fb12d762fcd09ee84580dbd63b4

Observation f19d5143-93d7-4028-9b9b-4f8032e32be8 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Enhancing CLIP Conceptual Embedding through Knowledge Distillation Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 12

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no resolver link, observed 2026-08-11T22:24:06.768581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:24:06.768581Z digest=sha256:7bf4df0fa3cf4c6b5a8d833b020fe58696b891ab14ae11cb9f29aaaf2c7e7d41

Observation ed15c2f9-7a7b-4711-a7f7-93e3141971b3 · outbound

This paper cites Belongie.

Enhancing CLIP Conceptual Embedding through Knowledge Distillation Belongie

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:24:06.952823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T22:24:06.772843Z digest=sha256:b657a15bf173311af563cd3bfbdc2dc1b02e5ce7cc030cf22ec540a7ec45c4b2

Observation 93352fcd-3388-4906-9044-c347724052b0 · outbound

This paper cites Zero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad and the Ugly.

Enhancing CLIP Conceptual Embedding through Knowledge Distillation Zero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad and the Ugly

Reference 14

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no resolver link, observed 2026-08-11T22:24:06.776535Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:24:06.776535Z digest=sha256:273a6bfe13a2ea91adbdd888b83517f437253140f9b18ea6364df33c3d165221

Observation 96a26a43-d54f-4170-b4aa-97439c27ece7 · outbound

This paper cites When and why vision-language models behave like bags-of-words, and what to do about it?.

Enhancing CLIP Conceptual Embedding through Knowledge Distillation When and why vision-language models behave like bags-of-words, and what to do about it?

Reference 15

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no resolver link, observed 2026-08-11T22:24:06.780353Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:24:06.780353Z digest=sha256:d4ebac094f88575a107bff11b6539309b3f8f0c7edd5f56f3e2029218f2dfcc0

Observation 60e0bff0-3a71-41d6-ba6f-80f3fa6183e3 · outbound

This paper cites URL: " 'urlintro :=.

Enhancing CLIP Conceptual Embedding through Knowledge Distillation URL: " 'urlintro :=

Reference 16

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unresolved
no resolver link, observed 2026-08-11T22:24:06.784294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:24:06.784294Z digest=sha256:a0791fafe2d309801c414d30f9f4294d40b07fa409f3706a5eaf9d959c8ab784

Observation fdcc2ae7-8f54-4b25-ae7d-68f58fa2fc14 · outbound

This paper cites write newline.

Enhancing CLIP Conceptual Embedding through Knowledge Distillation write newline

Reference 17

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unresolved
no resolver link, observed 2026-08-11T22:24:06.788727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:24:06.788727Z digest=sha256:17c0c6776caf7a07a524bc754c0f1ca66ab7b30c8c7cdcc188e8138eaefac318

Pith citing papers

No inbound Pith citation observations are available.