Paper Citation Record · LEDGER

Semantic-SAM: Segment and Recognize Anything at Any Granularity

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2307.04767.

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

pith.paper-citation-record.v1
2307.04767 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:14:30.282057Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

51
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a6ab64ba-50ae-4198-89e4-5a9ee91ca4a5 · inbound

Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V cites this paper.

Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V Semantic-SAM: Segment and Recognize Anything at Any Granularity

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-12T14:01:50.005621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e35b4bf4-0d2d-47c4-a8f9-0742a98a8291 · inbound

Self-Correcting Text-to-Video Generation with Misalignment Detection and Localized Refinement cites this paper.

Self-Correcting Text-to-Video Generation with Misalignment Detection and Localized Refinement Semantic-SAM: Segment and Recognize Anything at Any Granularity

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-23T08:25:29.385429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ed41c6af-0ce5-4b2f-9d35-510a57609777 · inbound

Personalization Toolkit: Training Free Personalization of Large Vision Language Models cites this paper.

Personalization Toolkit: Training Free Personalization of Large Vision Language Models Semantic-SAM: Segment and Recognize Anything at Any Granularity

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-23T03:35:21.119306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ea2279a4-5fa7-4c78-8ea0-4586935ca215 · inbound

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction cites this paper.

FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction Semantic-SAM: Segment and Recognize Anything at Any Granularity

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T19:14:30.282057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c563c1f1-84d0-439a-8963-fdd760c74134 · inbound

Synthetic Visual Genome cites this paper.

Synthetic Visual Genome Semantic-SAM: Segment and Recognize Anything at Any Granularity

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T05:34:56.285746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77f17ac7-04f3-4f9f-8413-ae5154ee2bd6 · inbound

One Polyp Identifies All: One-Shot Polyp Segmentation with SAM via Cascaded Priors and Iterative Prompt Evolution cites this paper.

One Polyp Identifies All: One-Shot Polyp Segmentation with SAM via Cascaded Priors and Iterative Prompt Evolution Semantic-SAM: Segment and Recognize Anything at Any Granularity

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T15:18:55.509775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d663012e-ae00-487d-9dbc-c13c2da3159f · inbound

Training-free Geometric Image Editing on Diffusion Models cites this paper.

Training-free Geometric Image Editing on Diffusion Models Semantic-SAM: Segment and Recognize Anything at Any Granularity

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T10:57:35.968703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84e518fe-f37e-4d8e-bd68-20e905e663dc · inbound

PASG: A Closed-Loop Framework for Automated Geometric Primitive Extraction and Semantic Anchoring in Robotic Manipulation cites this paper.

PASG: A Closed-Loop Framework for Automated Geometric Primitive Extraction and Semantic Anchoring in Robotic Manipulation Semantic-SAM: Segment and Recognize Anything at Any Granularity

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T23:07:31.129332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0efebf3f-cb5a-47e3-8a60-eeafacf487cd · inbound

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation cites this paper.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation Semantic-SAM: Segment and Recognize Anything at Any Granularity

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T15:27:12.760761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b92b556-a5ae-4362-a098-6b6e9160f9c2 · inbound

SAM-MI: A Mask-Injected Framework for Enhancing Open-Vocabulary Semantic Segmentation with SAM cites this paper.

SAM-MI: A Mask-Injected Framework for Enhancing Open-Vocabulary Semantic Segmentation with SAM Semantic-SAM: Segment and Recognize Anything at Any Granularity

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T20:27:24.734169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74710137-ffa6-4159-bbcd-aef34cfc712b · inbound

MV3DIS: Multi-View Mask Matching via 3D Guides for Zero-Shot 3D Instance Segmentation cites this paper.

MV3DIS: Multi-View Mask Matching via 3D Guides for Zero-Shot 3D Instance Segmentation Semantic-SAM: Segment and Recognize Anything at Any Granularity

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:15:57.908725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 63b67edc-2284-490b-a413-75df26c30122 · inbound

Amodal SAM: A Unified Amodal Segmentation Framework with Generalization cites this paper.

Amodal SAM: A Unified Amodal Segmentation Framework with Generalization Semantic-SAM: Segment and Recognize Anything at Any Granularity

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-10T01:10:08.914737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3289eff1-2204-46f4-bcf3-b93c20ac3344 · inbound

UnAC: Adaptive Visual Prompting with Abstraction and Stepwise Checking for Complex Multimodal Reasoning cites this paper.

UnAC: Adaptive Visual Prompting with Abstraction and Stepwise Checking for Complex Multimodal Reasoning Semantic-SAM: Segment and Recognize Anything at Any Granularity

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T23:16:37.565480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ab373b61-2f06-406b-81a6-4f4fb58ea751 · inbound

Vision Harnessing Agent for Open Ad-hoc Segmentation cites this paper.

Vision Harnessing Agent for Open Ad-hoc Segmentation Semantic-SAM: Segment and Recognize Anything at Any Granularity

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-20T05:53:04.494769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 42021030-6bc4-4a13-8b34-219ce405f24f · inbound

COCOTree: A Dataset and Benchmark for Open Tree-Structured Visual Decomposition cites this paper.

COCOTree: A Dataset and Benchmark for Open Tree-Structured Visual Decomposition Semantic-SAM: Segment and Recognize Anything at Any Granularity

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-22T08:01:16.126830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b7049ca8-b8f1-42df-ba63-64a7fd63085b · inbound

Ultralytics YOLO26: Unified Real-Time End-to-End Vision Models cites this paper.

Ultralytics YOLO26: Unified Real-Time End-to-End Vision Models Semantic-SAM: Segment and Recognize Anything at Any Granularity

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:26:26.534722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d21b7517-aca7-4822-9285-7ccf5d577df0 · inbound

EPS3D: End-to-End Feed-Forward 3D Panoptic Segmentation cites this paper.

EPS3D: End-to-End Feed-Forward 3D Panoptic Segmentation Semantic-SAM: Segment and Recognize Anything at Any Granularity

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-03T00:27:29.333214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation be855366-f952-4dd2-95c6-e5f40a1542df · inbound

In-context Region-based Drag: Drag Any Region to Any Shape cites this paper.

In-context Region-based Drag: Drag Any Region to Any Shape Semantic-SAM: Segment and Recognize Anything at Any Granularity

Reference 91

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T20:10:08.828752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5f8defb1-5b75-4237-8d1c-43c81f2000b1 · inbound

G$^2$TAM: Geometry Grounded Track Anything Model cites this paper.

G$^2$TAM: Geometry Grounded Track Anything Model Semantic-SAM: Segment and Recognize Anything at Any Granularity

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-11T23:56:52.009530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.