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Paper Citation Record · LEDGER

The Rescue Effect: Spatio-Semantic Early Exit Bypasses Quantization Collapse in CLIP

As of 23 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2605.26415.

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

pith.paper-citation-record.v1
2605.26415 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T18:56:02.724596Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

33 of 33 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved31
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 98c4d42b-dd50-41c4-8a4b-76dd42963b79 · outbound

This paper cites Multi-exit vision transformer for dynamic inference.

The Rescue Effect: Spatio-Semantic Early Exit Bypasses Quantization Collapse in CLIP Multi-exit vision transformer for dynamic inference

Reference 1

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Observation 0f670fe2-f1bd-4c69-89f9-0e4fb89b252d · outbound

This paper cites Reproducible scaling laws for contrastive language-image learning.

The Rescue Effect: Spatio-Semantic Early Exit Bypasses Quantization Collapse in CLIP Reproducible scaling laws for contrastive language-image learning

Reference 2

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Observation f8129e1d-466b-4743-864f-3c35562a4afb · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

The Rescue Effect: Spatio-Semantic Early Exit Bypasses Quantization Collapse in CLIP An image is worth 16x16 words: Transformers for image recognition at scale

Reference 3

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Observation 71e10926-6621-411d-85a3-ea64f0c21c37 · outbound

This paper cites GPTQ: Accurate post-training quantiza- tion for generative pre-trained transformers.

The Rescue Effect: Spatio-Semantic Early Exit Bypasses Quantization Collapse in CLIP GPTQ: Accurate post-training quantiza- tion for generative pre-trained transformers

Reference 4

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source=pdf_text observed=2026-06-29T18:56:02.724596Z digest=sha256:180a5b4793dc94cff24437f5dededde8ef01539531ece1300bfe2bd4420eb82b

Observation f797eeef-2411-45f1-968b-bafa0c47cac0 · outbound

This paper cites Le, Yun-Hsuan Sung, Zhen Li, and Tom Duerig.

The Rescue Effect: Spatio-Semantic Early Exit Bypasses Quantization Collapse in CLIP Le, Yun-Hsuan Sung, Zhen Li, and Tom Duerig

Reference 5

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Observation d5516d2f-fa56-4be2-b895-48374c62a1b6 · outbound

This paper cites Learned token pruning for transformers.

The Rescue Effect: Spatio-Semantic Early Exit Bypasses Quantization Collapse in CLIP Learned token pruning for transformers

Reference 6

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source=pdf_text observed=2026-06-29T18:56:02.724596Z digest=sha256:d5b57a71467fd76b99429ab78e59dd2585c8e8cf0e78ef35097e7ee70a8d2f9d

Observation c899f770-bc26-4fff-9dfd-4c5d8d0ff9c5 · outbound

This paper cites SPViT: Enabling faster vision transformers via latency-aware soft token pruning.

The Rescue Effect: Spatio-Semantic Early Exit Bypasses Quantization Collapse in CLIP SPViT: Enabling faster vision transformers via latency-aware soft token pruning

Reference 7

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source=pdf_text observed=2026-06-29T18:56:02.724596Z digest=sha256:eca8492a68346a47d221f6545554b4ee4909d945342d0a2cf3176675cdeca071

Observation 85af8eea-485d-4cea-80cd-583cecbde8d2 · outbound

This paper cites BLIP: Bootstrapping language-image pre-training for unified vision-language understanding and generation.

The Rescue Effect: Spatio-Semantic Early Exit Bypasses Quantization Collapse in CLIP BLIP: Bootstrapping language-image pre-training for unified vision-language understanding and generation

Reference 8

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source=pdf_text observed=2026-06-29T18:56:02.724596Z digest=sha256:ff3c0a52e8d9ea25578667776ede952ae7729f97134ed7cad6356fae7eae9336

Observation e253abee-178a-429d-bc3f-4c4e64fc1a59 · outbound

This paper cites Q-ViT: Accurate and fully quantized low-bit vision transformer.

The Rescue Effect: Spatio-Semantic Early Exit Bypasses Quantization Collapse in CLIP Q-ViT: Accurate and fully quantized low-bit vision transformer

Reference 9

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source=pdf_text observed=2026-06-29T18:56:02.724596Z digest=sha256:f91dbae643eb1e73b5d151f3a5055b3e66bf8be23deb1fd927572581181ee28f

Observation f588a88c-66e9-4e29-96c0-7c5297d7a552 · outbound

This paper cites BRECQ: Pushing the limit of post-training quantization by block reconstruction.

The Rescue Effect: Spatio-Semantic Early Exit Bypasses Quantization Collapse in CLIP BRECQ: Pushing the limit of post-training quantization by block reconstruction

Reference 10

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source=pdf_text observed=2026-06-29T18:56:02.724596Z digest=sha256:6bf2073757b58ba406a9bb788b1fa610b6fdbc71a2cc0e17b56e2d3d7100dc32

Observation a21bffe2-7f69-4249-b7c2-3b8c58828cee · outbound

This paper cites AWQ: Activation-aware weight quantization for on-device LLM compression and acceleration.

The Rescue Effect: Spatio-Semantic Early Exit Bypasses Quantization Collapse in CLIP AWQ: Activation-aware weight quantization for on-device LLM compression and acceleration

Reference 11

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source=pdf_text observed=2026-06-29T18:56:02.724596Z digest=sha256:1527d5e97ecc94b565e5a5cdfabd71313689a499e55963d033b0d98585ddc6ce

Observation 8b5fae7b-7da3-479f-a03e-09062f731a0c · outbound

This paper cites EfficientViT: Memory efficient vision transformer with cascaded group attention.

The Rescue Effect: Spatio-Semantic Early Exit Bypasses Quantization Collapse in CLIP EfficientViT: Memory efficient vision transformer with cascaded group attention

Reference 12

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source=pdf_text observed=2026-06-29T18:56:02.724596Z digest=sha256:54ccc1f48f03f5267cc7fa4a0bef887f5cf693c767a79896de1283ee05771247

Observation 8dd4d159-c6d6-42bc-a2aa-594c4dc27ffb · outbound

This paper cites FastBERT: A self-distilling BERT with adaptive inference time.

The Rescue Effect: Spatio-Semantic Early Exit Bypasses Quantization Collapse in CLIP FastBERT: A self-distilling BERT with adaptive inference time

Reference 13

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source=pdf_text observed=2026-06-29T18:56:02.724596Z digest=sha256:7a70c7067852ae27fa7fec26e8179c2d07ae71319547d7ef82f0877d751232e7

Observation 5eb0bdfb-f8a1-4bd4-b6f5-ab3ae0cd2b18 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

The Rescue Effect: Spatio-Semantic Early Exit Bypasses Quantization Collapse in CLIP Swin transformer: Hierarchical vision transformer using shifted windows

Reference 14

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source=pdf_text observed=2026-06-29T18:56:02.724596Z digest=sha256:69cd61bcd28f6043833a843ae117a744ed818c807b31175670b10387682c62dd

Observation 547ced29-5aa1-4aa6-9128-4a60a9782ca6 · outbound

This paper cites Post-training quantization for vision transformer.

The Rescue Effect: Spatio-Semantic Early Exit Bypasses Quantization Collapse in CLIP Post-training quantization for vision transformer

Reference 15

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source=pdf_text observed=2026-06-29T18:56:02.724596Z digest=sha256:ee7f0c260021b581feec4069d062ffe9f31138e5fb0b887c77a2b3ae118e303a

Observation 7ece4888-e812-4a69-8ab6-933fb98c6c63 · outbound

This paper cites AdaViT: Adaptive vision transformers for efficient image recognition.

The Rescue Effect: Spatio-Semantic Early Exit Bypasses Quantization Collapse in CLIP AdaViT: Adaptive vision transformers for efficient image recognition

Reference 16

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source=pdf_text observed=2026-06-29T18:56:02.724596Z digest=sha256:f75e18b1c31ec437be7f3eb56d3df4aea4b39350b7c6314a63b6c5404e2954f9

Observation 99565dd5-207b-4ff5-a0b5-1dbf0f33352b · outbound

This paper cites Up or down? adaptive rounding for post-training quantization.

The Rescue Effect: Spatio-Semantic Early Exit Bypasses Quantization Collapse in CLIP Up or down? adaptive rounding for post-training quantization

Reference 17

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source=pdf_text observed=2026-06-29T18:56:02.724596Z digest=sha256:0a2f451cd4b81d7431296454df24630bacfa1060e363fe1ba982ba590010448a

Observation 6690f5c0-1376-403a-b3a2-13551af705cc · outbound

This paper cites Learning trans- ferable visual models from natural language supervision.

The Rescue Effect: Spatio-Semantic Early Exit Bypasses Quantization Collapse in CLIP Learning trans- ferable visual models from natural language supervision

Reference 18

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source=pdf_text observed=2026-06-29T18:56:02.724596Z digest=sha256:a0c267db03ce6ba55241a22d704c06b88d8be3b44e94afc2deb3458ef0b779b7

Observation 23ca61e0-ecf7-4c8a-8703-d0762fbf589a · outbound

This paper cites Mahoney, and Kurt Keutzer.

The Rescue Effect: Spatio-Semantic Early Exit Bypasses Quantization Collapse in CLIP Mahoney, and Kurt Keutzer

Reference 19

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source=pdf_text observed=2026-06-29T18:56:02.724596Z digest=sha256:59f618c51d0b461926240a1ea75d42fec48bd22ee29d5c43b317ec5125c380d6

Observation b7e4db32-6239-4062-87ed-300494ba8dd5 · outbound

This paper cites EVA-CLIP: Improved Training Techniques for CLIP at Scale.

The Rescue Effect: Spatio-Semantic Early Exit Bypasses Quantization Collapse in CLIP EVA-CLIP: Improved Training Techniques for CLIP at Scale

Reference 20

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source=pdf_text observed=2026-06-29T18:56:02.724596Z digest=sha256:ac299fd32928ebc1653e0fa761f3ede33dc50b0225fb0040552807cefd87f8a9

Observation 577029eb-a5af-404a-88c1-1aa6ee0cd93c · outbound

This paper cites an unresolved cited work.

The Rescue Effect: Spatio-Semantic Early Exit Bypasses Quantization Collapse in CLIP Unresolved cited work

Reference 21

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source=pdf_text observed=2026-06-29T18:56:02.724596Z digest=sha256:c2f1d22cedb575b4d36367b1f0f56e80da983a36138e697ec3a0202e50559d1c

Observation ca43cfbf-def7-4732-8b5e-e6813438e371 · outbound

This paper cites Training data-efficient image transformers and distillation through attention.

The Rescue Effect: Spatio-Semantic Early Exit Bypasses Quantization Collapse in CLIP Training data-efficient image transformers and distillation through attention

Reference 22

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source=pdf_text observed=2026-06-29T18:56:02.724596Z digest=sha256:89125951873551e27410c01de935d3e92fecb581df43f94233c0026aa5d66efd

Observation e1bb8e79-2477-4cec-9172-27914157a55c · outbound

This paper cites SkipBERT: Efficient inference with shallow layer skipping.

The Rescue Effect: Spatio-Semantic Early Exit Bypasses Quantization Collapse in CLIP SkipBERT: Efficient inference with shallow layer skipping

Reference 23

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source=pdf_text observed=2026-06-29T18:56:02.724596Z digest=sha256:8d89d4cb7535860a90a6becc5d976cbda7412b80514a87dbd7edb38ee87058c1

Observation 7c25cb2e-8571-427e-b048-b22eb9e63703 · outbound

This paper cites Not all images are worth 16x16 words: Dynamic vision transformers with adaptive sequence length.

The Rescue Effect: Spatio-Semantic Early Exit Bypasses Quantization Collapse in CLIP Not all images are worth 16x16 words: Dynamic vision transformers with adaptive sequence length

Reference 24

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source=pdf_text observed=2026-06-29T18:56:02.724596Z digest=sha256:5855a2b1a0c786939a6f624a60f763ca8a527310048deb865048216e5ed20490

Observation b31c4830-8da2-4af2-ae82-67db154f5e45 · outbound

This paper cites TinyCLIP: CLIP distillation via affinity mimicking and weight inheritance.

The Rescue Effect: Spatio-Semantic Early Exit Bypasses Quantization Collapse in CLIP TinyCLIP: CLIP distillation via affinity mimicking and weight inheritance

Reference 25

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source=pdf_text observed=2026-06-29T18:56:02.724596Z digest=sha256:431b2c6a2e93a7fc26398a1c0540fd70c20d176aa00fcaf020b13c3d58703902

Observation bdd17f05-a9d9-48f3-a96a-308d8bfa034a · outbound

This paper cites SmoothQuant: Accurate and efficient post-training quantization for large language models.

The Rescue Effect: Spatio-Semantic Early Exit Bypasses Quantization Collapse in CLIP SmoothQuant: Accurate and efficient post-training quantization for large language models

Reference 26

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source=pdf_text observed=2026-06-29T18:56:02.724596Z digest=sha256:f91bba83fde93f495873ded4ed5c08ce03ffbbb0c7d082b0bdf73f6669087abe

Observation c3a56424-7a1d-4a83-94a5-2bdd4e4d8953 · outbound

This paper cites DeeBERT: Dynamic early exiting for accelerating BERT inference.

The Rescue Effect: Spatio-Semantic Early Exit Bypasses Quantization Collapse in CLIP DeeBERT: Dynamic early exiting for accelerating BERT inference

Reference 27

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source=pdf_text observed=2026-06-29T18:56:02.724596Z digest=sha256:ecb5466181dedf458c0fbcbd5bb7312be2b5af6b51ec3d97743077b04b72d0b0

Observation fd615877-32c0-447a-aec4-b171ef9b9f4d · outbound

This paper cites BERxiT: Early exiting for BERT with better fine-tuning and extension to regression.

The Rescue Effect: Spatio-Semantic Early Exit Bypasses Quantization Collapse in CLIP BERxiT: Early exiting for BERT with better fine-tuning and extension to regression

Reference 28

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source=pdf_text observed=2026-06-29T18:56:02.724596Z digest=sha256:aafa931b03ec5c53bfc9c34668d6db72b454677198b57d91a48a4291eafe7118

Observation 511d8c3e-3175-4380-91cf-20331fdcfac6 · outbound

This paper cites ZeroQuant: Efficient and affordable post-training quantization for large-scale transformers.

The Rescue Effect: Spatio-Semantic Early Exit Bypasses Quantization Collapse in CLIP ZeroQuant: Efficient and affordable post-training quantization for large-scale transformers

Reference 29

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source=pdf_text observed=2026-06-29T18:56:02.724596Z digest=sha256:c8953084057d4b830e54bb51d38639195139d4ec57a975b50daaf89865caa7e4

Observation 44aecb47-efe3-43b2-a692-70290b73dddd · outbound

This paper cites Florence: A New Foundation Model for Computer Vision.

The Rescue Effect: Spatio-Semantic Early Exit Bypasses Quantization Collapse in CLIP Florence: A New Foundation Model for Computer Vision

Reference 30

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-29T18:56:02.724596Z digest=sha256:9ad96e511c25689b538ec52415943ee17d41032bad3dc315fa5f17411b5ce72f

Observation d92d696b-f4fc-4972-94c9-2d32d90876c8 · outbound

This paper cites PTQ4ViT: Post-training quantiza- tion for vision transformers with twin uniform quantization.

The Rescue Effect: Spatio-Semantic Early Exit Bypasses Quantization Collapse in CLIP PTQ4ViT: Post-training quantiza- tion for vision transformers with twin uniform quantization

Reference 31

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source=pdf_text observed=2026-06-29T18:56:02.724596Z digest=sha256:b08687770bcf9ac05b1ad2519b1a447bfecbd5d63af03ab39cc0be0bd0ff7160

Observation e4dce0c0-a894-4bd3-b809-2e6a19607ef8 · outbound

This paper cites Sigmoid loss for language image pre-training.

The Rescue Effect: Spatio-Semantic Early Exit Bypasses Quantization Collapse in CLIP Sigmoid loss for language image pre-training

Reference 32

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Observation a66717ab-ed01-452c-9b8f-9f04acc109a2 · outbound

This paper cites BERT loses patience: Fast and robust inference with early exit.

The Rescue Effect: Spatio-Semantic Early Exit Bypasses Quantization Collapse in CLIP BERT loses patience: Fast and robust inference with early exit

Reference 33

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source=pdf_text observed=2026-06-29T18:56:02.724596Z digest=sha256:d13f83b466a7c4005f5418593c35d14cbbfd0de78efef077d055c3df8de3d411

Pith citing papers

No inbound Pith citation observations are available.