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Paper Citation Record · LEDGER

SAM3-I: Segment Anything with Instructions

As of 19 July 2026, this Paper Citation Record lists 21 of 21 outbound references and 5 inbound Pith citation observations for arXiv:2512.04585.

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

pith.paper-citation-record.v1
2512.04585 v4

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-17T02:06:35.864921Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-19T06:30:13.599613+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T22:34:00.442420Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T03:46:32.419163Z

Reference resolution

21 of 21 outbound references displayed

  • verified exact2
  • verified fuzzy19
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3f6a00a5-566b-4481-bf30-9f350e0fc805 · outbound

This paper cites Qwen3-VL Technical Report.

SAM3-I: Segment Anything with Instructions Qwen3-VL Technical Report

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-17T02:08:51.399219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-19T06:30:13.599613+00:00.

source=pdf_text observed=2026-05-17T02:06:35.864921Z digest=sha256:02306559c60609a948a6b53d297156a2f109da85a203d1a19cd31b75fe41dc03

Observation 922bff0a-3044-4e80-b812-fe26fc5b2bef · outbound

This paper cites Perception encoder: The best visual embeddings are not at the output of the net- work.Neural Information Processing Systems.

SAM3-I: Segment Anything with Instructions Perception encoder: The best visual embeddings are not at the output of the net- work.Neural Information Processing Systems

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T02:08:52.017265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-19T06:30:13.599613+00:00.

source=pdf_text observed=2026-05-17T02:06:35.864921Z digest=sha256:f9132ddde4c96544333f5c83c6557b7594c9226dea5b70985d102301b412b92f

Observation 78513a55-c14a-4302-95ec-dbfebe3777ca · outbound

This paper cites SAM 3: Segment Anything with Concepts.

SAM3-I: Segment Anything with Instructions SAM 3: Segment Anything with Concepts

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-05-17T02:08:51.402283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-19T06:30:13.599613+00:00.

source=pdf_text observed=2026-05-17T02:06:35.864921Z digest=sha256:91cd1c2e33be9ded743c8e2e8a1e14413debf92c0bf36c16acaad4aebd10f117

Observation 11ec8af5-68a9-4b02-96dc-397660c57c20 · outbound

This paper cites Adamv-moe: Adaptive multi-task vision mixture-of- experts.

SAM3-I: Segment Anything with Instructions Adamv-moe: Adaptive multi-task vision mixture-of- experts

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T02:08:52.014764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-19T06:30:13.599613+00:00.

source=pdf_text observed=2026-05-17T02:06:35.864921Z digest=sha256:161c9c2817ba65b4a4a89fac8c48b5cfeec866befac2d6c35546a0c5a079652d

Observation 26012816-f95a-4822-b545-40474435c608 · outbound

This paper cites an unresolved cited work.

SAM3-I: Segment Anything with Instructions Unresolved cited work

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T02:08:51.979512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-19T06:30:13.599613+00:00.

source=pdf_text observed=2026-05-17T02:06:35.864921Z digest=sha256:9f5999e184c96936e2ca7ea508805f1d10096216712c67205ffabea0b29d22e3

Observation 05393c3c-0905-415c-b1d9-f8afa4b109cf · outbound

This paper cites Seg- mentation from natural language expressions.

SAM3-I: Segment Anything with Instructions Seg- mentation from natural language expressions

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T02:08:52.012500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-19T06:30:13.599613+00:00.

source=pdf_text observed=2026-05-17T02:06:35.864921Z digest=sha256:67e25bac94d5f80882ec57c424bde6d07e20df29dfe5512a58a144f42ebb48de

Observation 877cd129-5703-455d-b6ab-fce156f2820e · outbound

This paper cites Segment anything is not always perfect: An investi- gation of sam on different real-world applications.Machine Intelligence Research, 21(4):617–630.

SAM3-I: Segment Anything with Instructions Segment anything is not always perfect: An investi- gation of sam on different real-world applications.Machine Intelligence Research, 21(4):617–630

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T02:08:52.010002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-19T06:30:13.599613+00:00.

source=pdf_text observed=2026-05-17T02:06:35.864921Z digest=sha256:8153893cec38e7cd84492d88dd4135b87b7752dc4abbaa58fef534d5a9d5b622

Observation 4a5b78e5-861d-47bc-a705-256b508c83b2 · outbound

This paper cites Semanticrt: A large-scale dataset and method for robust semantic segmentation in multispectral images.

SAM3-I: Segment Anything with Instructions Semanticrt: A large-scale dataset and method for robust semantic segmentation in multispectral images

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T02:08:52.007919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-19T06:30:13.599613+00:00.

source=pdf_text observed=2026-05-17T02:06:35.864921Z digest=sha256:f4fbf7a4f5fe432bfe7e3d2978e345aff8dd3bf54924879baa5241442b7b172f

Observation 33fb60a9-96f1-4864-97dd-4e9d2ffc0053 · outbound

This paper cites Segment any- thing.

SAM3-I: Segment Anything with Instructions Segment any- thing

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T02:08:51.977413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-19T06:30:13.599613+00:00.

source=pdf_text observed=2026-05-17T02:06:35.864921Z digest=sha256:5619d996257ffd2f809038c7e50ca67a3a8a804ae0383eed175f516955c1255b

Observation 143f9d58-56e3-4d41-9ec4-5c8aaabd9dcb · outbound

This paper cites Novel method of seman- tic segmentation applicable to augmented reality.Sensors, 20(6):1737.

SAM3-I: Segment Anything with Instructions Novel method of seman- tic segmentation applicable to augmented reality.Sensors, 20(6):1737

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T02:08:52.005483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-19T06:30:13.599613+00:00.

source=pdf_text observed=2026-05-17T02:06:35.864921Z digest=sha256:391fe7d48c608511e9c0bbe809a6f8f79573f97b83c4e627490fedc6e620eb9d

Observation f349f418-2663-4572-9b75-cb922a8c0e9a · outbound

This paper cites Lisa: Reasoning segmentation via large language model.

SAM3-I: Segment Anything with Instructions Lisa: Reasoning segmentation via large language model

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T02:08:52.003083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-19T06:30:13.599613+00:00.

source=pdf_text observed=2026-05-17T02:06:35.864921Z digest=sha256:ea23cb50d85e6e213c4b25ba7c65b84ce204798f54c4c9a9246984d1fff2cd11

Observation 7854edfc-c015-4e07-b62e-23d622598a6b · outbound

This paper cites Key technologies of machine vision for weeding robots: A review and benchmark.Computers and Electron- ics in Agriculture, 196:106880.

SAM3-I: Segment Anything with Instructions Key technologies of machine vision for weeding robots: A review and benchmark.Computers and Electron- ics in Agriculture, 196:106880

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T02:08:52.000676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-19T06:30:13.599613+00:00.

source=pdf_text observed=2026-05-17T02:06:35.864921Z digest=sha256:719f17d94d57e0dc74892c4c22a839d48d094a5f34ae2d1e58c670fd0d5be0bf

Observation 81ed4a2e-63b5-4fc8-acdc-62c96554b9bb · outbound

This paper cites Divergence measures based on the shannon en- tropy.IEEE Transactions on Information Theory, 37(1):145– 151.

SAM3-I: Segment Anything with Instructions Divergence measures based on the shannon en- tropy.IEEE Transactions on Information Theory, 37(1):145– 151

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T02:08:52.019469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-19T06:30:13.599613+00:00.

source=pdf_text observed=2026-05-17T02:06:35.864921Z digest=sha256:7187a935a7bfa8a310282f217abc36f6f5257a008843d6d0a1b051591853be3a

Observation 98900e2e-75b3-44c8-b9c3-936d3dc6995b · outbound

This paper cites Fully convolutional networks for semantic segmentation.

SAM3-I: Segment Anything with Instructions Fully convolutional networks for semantic segmentation

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T02:08:51.981527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-19T06:30:13.599613+00:00.

source=pdf_text observed=2026-05-17T02:06:35.864921Z digest=sha256:fb9bac2a4be932d637f9503e309a65ee560f81edeb8e331b352d77193d408033

Observation 89df4196-50ae-48f4-95cd-4c5be2c86831 · outbound

This paper cites Mixture of ex- perts: a literature survey.Artificial Intelligence Review, 42(2):275–293.

SAM3-I: Segment Anything with Instructions Mixture of ex- perts: a literature survey.Artificial Intelligence Review, 42(2):275–293

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T02:08:51.998346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-19T06:30:13.599613+00:00.

source=pdf_text observed=2026-05-17T02:06:35.864921Z digest=sha256:d738826b9784ffc4e4a0a1d4c46c666e96015cd9aeba0879481a259b3bf30288

Observation 58fcef6c-6430-4494-87db-85761b8e2ae8 · outbound

This paper cites Sam-lad: Seg- ment anything model meets zero-shot logic anomaly detec- tion.Knowledge-Based Systems, 314:113176.

SAM3-I: Segment Anything with Instructions Sam-lad: Seg- ment anything model meets zero-shot logic anomaly detec- tion.Knowledge-Based Systems, 314:113176

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T02:08:51.995794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-19T06:30:13.599613+00:00.

source=pdf_text observed=2026-05-17T02:06:35.864921Z digest=sha256:a7a55978bcdfb46cf863304928556ffee1b5419c7103d171b172692aa7f9a6d3

Observation 24ec3d0f-fc66-4429-9e46-1cb12a21c9f4 · outbound

This paper cites Verifiably following complex robot instructions with foundation models.

SAM3-I: Segment Anything with Instructions Verifiably following complex robot instructions with foundation models

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T02:08:51.993293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-19T06:30:13.599613+00:00.

source=pdf_text observed=2026-05-17T02:06:35.864921Z digest=sha256:542221a0bbd34b59ca8ac9e6fffaf3db4d883feb9b280b436e38997c5aa6f263

Observation 2e8b60c6-6f1b-42cd-8847-8f13ef9e9bc1 · outbound

This paper cites Paco: Parts and attributes of common objects.

SAM3-I: Segment Anything with Instructions Paco: Parts and attributes of common objects

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T02:08:51.990904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-19T06:30:13.599613+00:00.

source=pdf_text observed=2026-05-17T02:06:35.864921Z digest=sha256:a9eb40b95769c7ec3b7a9aedcb627ffc8ce8dfd3b329bd93bf8af2541c790632

Observation 480ef498-751c-45a8-a5d5-30a5d57fb721 · outbound

This paper cites Sam 2: Seg- ment anything in images and videos.International Confer- ence on Learning Representations.

SAM3-I: Segment Anything with Instructions Sam 2: Seg- ment anything in images and videos.International Confer- ence on Learning Representations

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T02:08:51.988715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-19T06:30:13.599613+00:00.

source=pdf_text observed=2026-05-17T02:06:35.864921Z digest=sha256:6d367f60bcaec94b230ead8a581e8d1ea1303ec930a1099bcb9bb53042e7c0a1

Observation d74034fc-a0da-4ffc-af98-808fb4b0e424 · outbound

This paper cites Augmented reality model in supporting instruction process: a critical review.

SAM3-I: Segment Anything with Instructions Augmented reality model in supporting instruction process: a critical review

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T02:08:51.986221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-19T06:30:13.599613+00:00.

source=pdf_text observed=2026-05-17T02:06:35.864921Z digest=sha256:b3f268b9f605b233753042008fe39669eb47164f478343d71294d30fc4533903

Observation 64e7e927-c9d9-48d8-9a09-f3bde51353a6 · outbound

This paper cites Medical sam adapter: Adapting segment anything model for medical im- age segmentation.Medical Image Analysis, 102:103547.

SAM3-I: Segment Anything with Instructions Medical sam adapter: Adapting segment anything model for medical im- age segmentation.Medical Image Analysis, 102:103547

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T02:08:51.984106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-19T06:30:13.599613+00:00.

source=pdf_text observed=2026-05-17T02:06:35.864921Z digest=sha256:cc52a1a65b97404330291c6d654adc1ff714ad8f9937b2d926c839a293c6f9a1

Pith citing papers

Observation 6c6509a4-da08-4095-8c3b-511fed376c6f · inbound

LumiVideo: An Intelligent Agentic System for Video Color Grading cites this paper.

LumiVideo: An Intelligent Agentic System for Video Color Grading SAM3-I: Segment Anything with Instructions

Reference 9

Resolution
metadata mismatch
local_arxiv, observed 2026-05-13T21:38:18.742480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-19T06:30:13.599613+00:00.

source=pdf_text observed=2026-05-13T21:36:49.074380Z digest=sha256:d6ac64b8b3250224d220e75fbf154c9d9535dbbb517ad7e490636f05065a63c0

Observation e83077f9-88cc-4847-811e-566f560fe751 · inbound

Tarot-SAM3: Training-free SAM3 for Any Referring Expression Segmentation cites this paper.

Tarot-SAM3: Training-free SAM3 for Any Referring Expression Segmentation SAM3-I: Segment Anything with Instructions

Reference 18

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T05:21:00.978383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-19T06:30:13.599613+00:00.

source=pdf_text observed=2026-05-10T18:11:13.376684Z digest=sha256:e270cb489afd0dca2134a85d6fc56ed7d44d9f99747f2f67c26aca72ae550b94

Observation a79d6b77-983f-4e0a-9399-3ea3c83fb912 · inbound

InstructSAM: Segment Any Instance with Any Instructions cites this paper.

InstructSAM: Segment Any Instance with Any Instructions SAM3-I: Segment Anything with Instructions

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-06-29T22:44:02.051592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-19T06:30:13.599613+00:00.

source=pdf_text observed=2026-06-29T22:34:00.442420Z digest=sha256:561a3e9a4895a4cd29f6225faa9e70351b4a6f7273c31b66b90788a1eb8f1950

Observation dc485968-5f2b-4399-bfe0-883d5f3e84d3 · inbound

Explainable Forensics of Manipulated Segments in Untrimmed Long Videos cites this paper.

Explainable Forensics of Manipulated Segments in Untrimmed Long Videos SAM3-I: Segment Anything with Instructions

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-07-01T22:56:20.972035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-19T06:30:13.599613+00:00.

source=pdf_text observed=2026-06-28T14:49:11.015838Z digest=sha256:42c53f17df831d6e1bd0cfb977e990d10eec58b3447e3be63d79b0eecfd5d97f

Observation 86bde7ea-c99b-414c-8e40-945a87cd5c8f · inbound

Affordance2Action: Task-Conditioned Scene-level Affordance Grounding for Real-Time Manipulation cites this paper.

Affordance2Action: Task-Conditioned Scene-level Affordance Grounding for Real-Time Manipulation SAM3-I: Segment Anything with Instructions

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-07-02T03:46:32.420497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-19T06:30:13.599613+00:00.

source=pdf_text observed=2026-06-28T09:44:51.896204Z digest=sha256:5a4bdbc982a69465cc13983b7123c83edf957be00b94bb9a5f951eb08eafe297