Paper Citation Record · LEDGER

Compress Any Segment Anything Model (SAM)

As of 10 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2507.08765.

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

pith.paper-citation-record.v1
2507.08765 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:20:01.135021Z

measured 37 of 37 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 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

37 of 37 outbound references displayed

verified exact3
verified fuzzy15
unresolved19
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3b38b576-c9f9-4232-b6ec-665a428b5c0a · outbound

This paper cites Segment anything,.

Compress Any Segment Anything Model (SAM) Segment anything,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T18:20:00.905628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7290ac4e-7934-40f6-953a-9caf96713376 · outbound

This paper cites MedSAM-U: Uncertainty-Guided Auto Multi-Prompt Adaptation for Reliable MedSAM.

Compress Any Segment Anything Model (SAM) MedSAM-U: Uncertainty-Guided Auto Multi-Prompt Adaptation for Reliable MedSAM

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T18:20:00.911194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 088e3ba1-acae-4532-8fbb-3ec3b33a6170 · outbound

This paper cites Segment anything in high quality,.

Compress Any Segment Anything Model (SAM) Segment anything in high quality,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:20:01.820763Z

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.

Observation a058d4da-82a0-456f-a638-7b63f7dcdfd6 · outbound

This paper cites MobileSAMv2: Faster Segment Anything to Everything.

Compress Any Segment Anything Model (SAM) MobileSAMv2: Faster Segment Anything to Everything

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T18:20:00.924093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b02a9c1-e73a-47b9-b9a8-2e4143658b47 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Compress Any Segment Anything Model (SAM) SAM 2: Segment Anything in Images and Videos

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T18:20:00.931060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a8b9a16-ab44-4497-9e82-d1d90006f5f2 · outbound

This paper cites EdgeSAM: Prompt-In-the-Loop Distillation for SAM.

Compress Any Segment Anything Model (SAM) EdgeSAM: Prompt-In-the-Loop Distillation for SAM

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T18:20:00.943870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8826e435-889a-4457-abe9-d7eb2310ae3b · outbound

This paper cites Efficientsam: Leveraged masked image pretraining for efficient segment anything,.

Compress Any Segment Anything Model (SAM) Efficientsam: Leveraged masked image pretraining for efficient segment anything,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:20:01.804497Z

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.

Observation 1e7b2e09-99b3-45ef-ae5d-002e05d4f97c · outbound

This paper cites Tinysam: Pushing the envelope for efficient segment anything model,.

Compress Any Segment Anything Model (SAM) Tinysam: Pushing the envelope for efficient segment anything model,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:20:01.788740Z

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.

Observation f86dbcae-1b4e-445f-8e6e-3f849018729c · outbound

This paper cites Segment anything in medical images,.

Compress Any Segment Anything Model (SAM) Segment anything in medical images,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T18:20:00.968151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cde8883-c7cc-4001-a2f8-af7f4ed3c8a4 · outbound

This paper cites An empir- ical study of catastrophic forgetting in large language models during continual fine-tuning,.

Compress Any Segment Anything Model (SAM) An empir- ical study of catastrophic forgetting in large language models during continual fine-tuning,

Reference 10

Resolution: verified exact; raw_fallback, observed 2026-08-06T18:20:01.468268Z

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.

Observation 68ee955b-6ebe-4121-bbe0-7fa8c7719933 · outbound

This paper cites A survey on model compression for large language models,.

Compress Any Segment Anything Model (SAM) A survey on model compression for large language models,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:20:01.771776Z

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.

Observation c9768f39-bc30-47dd-b71b-a79f94097d03 · outbound

This paper cites Model compression for deep neural networks: A survey,.

Compress Any Segment Anything Model (SAM) Model compression for deep neural networks: A survey,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:20:01.754527Z

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.

Observation 4709eb13-f5af-453c-8fdc-8bf401c368ad · outbound

This paper cites Hyper-compression: Model compression via hyperfunction,.

Compress Any Segment Anything Model (SAM) Hyper-compression: Model compression via hyperfunction,

Reference 13

Resolution: verified exact; raw_fallback, observed 2026-08-06T18:20:01.377558Z

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.

Observation 392d0f39-2fac-473a-9dd0-9ae6b222bdc0 · outbound

This paper cites Microsoft coco: Common objects in context,.

Compress Any Segment Anything Model (SAM) Microsoft coco: Common objects in context,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T18:20:00.991117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55d66ed7-262d-466d-a5ce-c21a25d94be6 · outbound

This paper cites Lvis: A dataset for large vocabulary instance segmentation,.

Compress Any Segment Anything Model (SAM) Lvis: A dataset for large vocabulary instance segmentation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:20:01.731708Z

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.

Observation a7e2e2c9-2db7-45f1-a162-24fa290efbfb · outbound

This paper cites Sparsegpt: Massive language models can be accurately pruned in one-shot,.

Compress Any Segment Anything Model (SAM) Sparsegpt: Massive language models can be accurately pruned in one-shot,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:20:01.717545Z

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.

Observation 2206c33f-bf82-46a3-8000-9f14f329172d · outbound

This paper cites Pruning neural networks without any data by iteratively conserving synaptic flow,.

Compress Any Segment Anything Model (SAM) Pruning neural networks without any data by iteratively conserving synaptic flow,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T18:20:01.008284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02d2a591-d8d3-4235-8fe6-95a5e41e45c2 · outbound

This paper cites The lottery ticket hypothesis: Finding sparse, trainable neural networks,.

Compress Any Segment Anything Model (SAM) The lottery ticket hypothesis: Finding sparse, trainable neural networks,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T18:20:01.014383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d2a95b6-d6ef-4d7c-be95-f122268d9f79 · outbound

This paper cites AutoDFP: Automatic Data-Free Pruning via Channel Similarity Reconstruction.

Compress Any Segment Anything Model (SAM) AutoDFP: Automatic Data-Free Pruning via Channel Similarity Reconstruction

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:20:01.287341Z

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.

Observation 5876c83d-ada5-4daa-9847-d99eefed92db · outbound

This paper cites BiLLM: Pushing the Limit of Post-Training Quantization for LLMs.

Compress Any Segment Anything Model (SAM) BiLLM: Pushing the Limit of Post-Training Quantization for LLMs

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T18:20:01.035710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f6326bb-1c54-4468-a449-e8334b8b23fc · outbound

This paper cites Quantization and training of neural networks for efficient integer-arithmetic-only inference,.

Compress Any Segment Anything Model (SAM) Quantization and training of neural networks for efficient integer-arithmetic-only inference,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:20:01.676153Z

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.

Observation b3b3f99f-06db-4ab7-a298-b7d592d8ec7a · outbound

This paper cites Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation.

Compress Any Segment Anything Model (SAM) Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T18:20:01.054268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5eed493c-504c-45ad-ad9a-c7e3c29c74e6 · outbound

This paper cites Low-bit quantiza- tion of neural networks for efficient inference,.

Compress Any Segment Anything Model (SAM) Low-bit quantiza- tion of neural networks for efficient inference,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:20:01.664565Z

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.

Observation fa441994-60f0-4354-b808-291ac2c7ae64 · outbound

This paper cites Zeroq: A novel zero shot quantization framework,.

Compress Any Segment Anything Model (SAM) Zeroq: A novel zero shot quantization framework,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:20:01.652280Z

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.

Observation 46fe9380-95c6-4e1b-b6fb-42998ff258ca · outbound

This paper cites Tensor-train decomposition,.

Compress Any Segment Anything Model (SAM) Tensor-train decomposition,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:20:01.640927Z

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.

Observation 7c0b7b17-ae73-4fd8-b8cb-4db1cfb69e45 · outbound

This paper cites Tensor Ring Decomposition.

Compress Any Segment Anything Model (SAM) Tensor Ring Decomposition

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T18:20:01.077415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9feef32-523d-41e2-8d48-216a813d3df6 · outbound

This paper cites Data-free Weight Compress and Denoise for Large Language Models.

Compress Any Segment Anything Model (SAM) Data-free Weight Compress and Denoise for Large Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T18:20:01.082405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0722066-8566-4aea-8f39-bfbfff077365 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Compress Any Segment Anything Model (SAM) Distilling the Knowledge in a Neural Network

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T18:20:01.086655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5971c516-2150-45cb-8bbc-db871cc69197 · outbound

This paper cites Faster Segment Anything: Towards Lightweight SAM for Mobile Applications.

Compress Any Segment Anything Model (SAM) Faster Segment Anything: Towards Lightweight SAM for Mobile Applications

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T18:20:01.091074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a995ba9-e428-453e-8b41-3e8b3369e7f0 · outbound

This paper cites Ptq4sam: Post-training quantization for segment anything,.

Compress Any Segment Anything Model (SAM) Ptq4sam: Post-training quantization for segment anything,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:20:01.629112Z

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.

Observation d1abb24c-638a-4fd5-8a43-13d4bfe58538 · outbound

This paper cites an unresolved cited work.

Compress Any Segment Anything Model (SAM) Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:20:01.610329Z

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.

Observation 0902caff-a80a-4045-8c0b-43a0e7a8679b · outbound

This paper cites Vector quantization,.

Compress Any Segment Anything Model (SAM) Vector quantization,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:20:01.595960Z

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.

Observation f9313f3f-3547-4483-9261-2d551fef9c30 · outbound

This paper cites QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization.

Compress Any Segment Anything Model (SAM) QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T18:20:01.113405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97ad7334-a29c-4f8b-b580-6e5d62673f1e · outbound

This paper cites Exploring plain vision transformer backbones for object detection,.

Compress Any Segment Anything Model (SAM) Exploring plain vision transformer backbones for object detection,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:20:01.574698Z

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.

Observation 2caba76f-b815-4115-9953-5f23af9e2718 · outbound

This paper cites YOLOX: Exceeding YOLO Series in 2021.

Compress Any Segment Anything Model (SAM) YOLOX: Exceeding YOLO Series in 2021

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T18:20:01.123198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 966bca85-63d2-4646-8515-567e0786d2dc · outbound

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

Compress Any Segment Anything Model (SAM) Up or down? adaptive rounding for post-training quantization,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:20:01.549267Z

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.

Observation e113b409-bfdf-4e43-b994-4cbf424d735f · outbound

This paper cites BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction.

Compress Any Segment Anything Model (SAM) BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T18:20:01.135021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.