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Paper Citation Record · LEDGER

Enhancing CLIP Conceptual Embedding through Knowledge Distillation

As of 12 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 2026-08-12T06:34:41.77262+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=sha256:4b62a095440e952cbfdf035153cd5341d805c1281b7c5caa6499e351de44014a

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:d6fb2787d35f12deaf9d46e005d29d79e0483fb756a38ea03f641e810ecdf0f9

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=sha256:7bec356c556d46afc9159253c75f044180d28037a94ac023e7e3470d26889acb

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:24:06.736142Z digest=sha256:ca6be7dc8fadd357c1709921db69d5436efd3988fdf45e66276510ffc0be3a81

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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unresolved
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:a8ea1ef7a24be5dd91ffb151791ebb9983915c29ac163cfed93ced5a5e32f73e

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=sha256:04eb00b0dfa0dfc53f590f60569d81a2c9d9b6f8019fb0184180118e447372be

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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no resolver link, observed 2026-08-11T22:24:06.748831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:24:06.748831Z digest=sha256:2c63630742db51cbbcb79d7aa31521e3849afc9bd6da0f1770df4de891d05dec

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T22:24:06.752891Z digest=sha256:c99c53710650ef160d7a8ed33781d1197c6adb994968383c8731796d243b3d3b

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:ed7f87864cc8021fa731bb7522b45b750254a3c408cb075964933ad2817aad73

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:ba21c994797615714c33c84a26b04f7b9437732afa4b582afc38315d1a4ae864

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:24:06.764337Z digest=sha256:8e1a6c860cb0add407a9669acd64d9e921d07f1f2639076558f50533be8a7010

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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unresolved
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=sha256:95aa4ca6dca4122e6efb83cdf2751139e42c9ca917897c327da8367b985723f5

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T22:24:06.772843Z digest=sha256:264052175cacbb8297fc575e23524b35f6de556af8e9cc655d5dc3920d11af4d

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:24:06.776535Z digest=sha256:2758a47819edd275740b78c79b5294072e27fe55fedb186254976e28cd3df299

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:24:06.780353Z digest=sha256:11e3f514eb01acc79b7570e0b349aa2d03aea08c693a692d5b45b3d9f9dff1c0

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=sha256:7f59c1e943170000f137ef923b1f1e95cd111b75a43eb950fed732d745e9c7ac

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:e0ee98d3df88d53bed92e05827f4f7cc014cb2286bef71f07e635e09f73dd377

Pith citing papers

No inbound Pith citation observations are available.