Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T10:42:19.311380Z
Paper Citation Record · LEDGER
Det-SAM2:Technical Report on the Self-Prompting Segmentation Framework Based on Segment Anything Model 2
As of 21 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 2 inbound Pith citation observations for arXiv:2411.18977.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T04:17:55.357859Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T19:50:56.593204Z
Reference resolution
21 of 21 outbound references displayed
- verified exact0
- verified fuzzy11
- unresolved10
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 6b759aa2-0fea-4b71-9bcb-8b534a5e7072 · outbound
This paper cites SAM 2: Segment Anything in Images and Videos.
Det-SAM2:Technical Report on the Self-Prompting Segmentation Framework Based on Segment Anything Model 2 SAM 2: Segment Anything in Images and Videos
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:42:19.232859Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 89e1841d-6239-4e48-b609-3d9445cb134c · outbound
This paper cites Segment anything.
Det-SAM2:Technical Report on the Self-Prompting Segmentation Framework Based on Segment Anything Model 2 Segment anything
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:42:19.238203Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4d19177c-7805-45d2-aa0a-e86b0d3410dd · outbound
This paper cites Yolov8: A novel object detection algorithm with enhanced performance and robustness.
Det-SAM2:Technical Report on the Self-Prompting Segmentation Framework Based on Segment Anything Model 2 Yolov8: A novel object detection algorithm with enhanced performance and robustness
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:42:19.568304Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 67764e08-2b50-4878-b46a-4ce7db8eb2da · outbound
This paper cites ultralytics/yolov5: v3.
Det-SAM2:Technical Report on the Self-Prompting Segmentation Framework Based on Segment Anything Model 2 ultralytics/yolov5: v3
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:42:19.556249Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ea6e2524-6b62-4d2b-99f2-b6ee6d54ddeb · outbound
This paper cites Issue comment on sam2 github repository: Reuse the memory bank for another video.
Det-SAM2:Technical Report on the Self-Prompting Segmentation Framework Based on Segment Anything Model 2 Issue comment on sam2 github repository: Reuse the memory bank for another video
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:42:19.543642Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 90305eda-5548-4312-9ff4-0c5d7f0e97df · outbound
This paper cites Issue comment on sam2 github repository: Are there any method for reducing gpu memory over- head? https://github.com/facebookresearch/sam2/issues/196#issuecomment-2286352777, 2024.
Det-SAM2:Technical Report on the Self-Prompting Segmentation Framework Based on Segment Anything Model 2 Issue comment on sam2 github repository: Are there any method for reducing gpu memory over- head? https://github.com/facebookresearch/sam2/issues/196#issuecomment-2286352777, 2024
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:42:19.531643Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a8dba08e-a07d-4022-9fe7-5fdb85c1f0b4 · outbound
This paper cites Issue comment on sam2 github repository: Are there any method for reducing gpu memory over- head? https://github.com/facebookresearch/sam2/issues/196#issuecomment-2475114783, 2024.
Det-SAM2:Technical Report on the Self-Prompting Segmentation Framework Based on Segment Anything Model 2 Issue comment on sam2 github repository: Are there any method for reducing gpu memory over- head? https://github.com/facebookresearch/sam2/issues/196#issuecomment-2475114783, 2024
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:42:19.520070Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d975872b-64b1-4e7f-85fa-138ca8d74476 · outbound
This paper cites RWKV: Reinventing RNNs for the Transformer Era.
Det-SAM2:Technical Report on the Self-Prompting Segmentation Framework Based on Segment Anything Model 2 RWKV: Reinventing RNNs for the Transformer Era
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:42:19.261642Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c989526c-baaa-4980-90ce-e6aa5c2f2d85 · outbound
This paper cites an unresolved cited work.
Det-SAM2:Technical Report on the Self-Prompting Segmentation Framework Based on Segment Anything Model 2 Unresolved cited work
Reference 9
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T10:42:19.508740Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 083aa184-bd7e-4d26-bd64-23b5e3b4094a · outbound
This paper cites 16 If both conditions are satisfied, it is determined that the ball has entered the target pocket.
Det-SAM2:Technical Report on the Self-Prompting Segmentation Framework Based on Segment Anything Model 2 16 If both conditions are satisfied, it is determined that the ball has entered the target pocket
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:42:19.498812Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2e36ad85-3717-4287-aa3b-248257b42739 · outbound
This paper cites an unresolved cited work.
Det-SAM2:Technical Report on the Self-Prompting Segmentation Framework Based on Segment Anything Model 2 Unresolved cited work
Reference 11
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T10:42:19.487555Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation acfc0b35-d7a0-486e-9569-377620e75914 · outbound
This paper cites If both conditions are satisfied, it is determined that a collision occurred between the two balls.
Det-SAM2:Technical Report on the Self-Prompting Segmentation Framework Based on Segment Anything Model 2 If both conditions are satisfied, it is determined that a collision occurred between the two balls
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:42:19.476495Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 9b849c5d-1ec2-46a3-b88f-e6d7d70526a6 · outbound
This paper cites an unresolved cited work.
Det-SAM2:Technical Report on the Self-Prompting Segmentation Framework Based on Segment Anything Model 2 Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T10:42:19.466009Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 897737d3-6822-41e7-8da1-75bc7bbfb7db · outbound
This paper cites an unresolved cited work.
Det-SAM2:Technical Report on the Self-Prompting Segmentation Framework Based on Segment Anything Model 2 Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T10:42:19.453907Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 90f269f2-efa0-4d5f-9161-13a3fcbf1d3c · outbound
This paper cites If not, check if the velocity component parallel to the boundary remains approximately consistent.
Det-SAM2:Technical Report on the Self-Prompting Segmentation Framework Based on Segment Anything Model 2 If not, check if the velocity component parallel to the boundary remains approximately consistent
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:42:19.442242Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a84cd416-6975-4701-b1f0-610f7e52cad4 · outbound
This paper cites an unresolved cited work.
Det-SAM2:Technical Report on the Self-Prompting Segmentation Framework Based on Segment Anything Model 2 Unresolved cited work
Reference 16
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T10:42:19.429106Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 9c392640-6b66-43f2-b18b-03ba26272c8d · outbound
This paper cites an unresolved cited work.
Det-SAM2:Technical Report on the Self-Prompting Segmentation Framework Based on Segment Anything Model 2 Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T10:42:19.416041Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 76f5e2a6-948c-462e-9e38-ad652d01dd96 · outbound
This paper cites an unresolved cited work.
Det-SAM2:Technical Report on the Self-Prompting Segmentation Framework Based on Segment Anything Model 2 Unresolved cited work
Reference 18
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T10:42:19.403478Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation efbd4335-7d8c-4de3-b3a3-e71856fb1681 · outbound
This paper cites If conditions 4, 5, 6, and 7 are all satisfied, it is also determined that the ball rebounded off the corresponding boundary.
Det-SAM2:Technical Report on the Self-Prompting Segmentation Framework Based on Segment Anything Model 2 If conditions 4, 5, 6, and 7 are all satisfied, it is also determined that the ball rebounded off the corresponding boundary
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:42:19.391651Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6a023367-ba91-4201-b6ba-d6f66786a0e1 · outbound
This paper cites (a) Reads each frame from the video stream as input from the video source.
Det-SAM2:Technical Report on the Self-Prompting Segmentation Framework Based on Segment Anything Model 2 (a) Reads each frame from the video stream as input from the video source
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:42:19.378903Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 12a68ad6-b065-4ffa-add4-7c7432c5955a · outbound
This paper cites (a) Monitors the post-processing queue (frames_queue), and starts processing as soon as new inference results are available.
Det-SAM2:Technical Report on the Self-Prompting Segmentation Framework Based on Segment Anything Model 2 (a) Monitors the post-processing queue (frames_queue), and starts processing as soon as new inference results are available
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T10:42:19.365775Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Pith citing papers
Observation 040fefd9-4de5-43eb-ab9a-82ef336f59e0 · inbound
Bootstrapping Vision-Language Model for Hysteroscopic Surgical Scene Segmentation cites this paper.
Bootstrapping Vision-Language Model for Hysteroscopic Surgical Scene Segmentation Det-SAM2:Technical Report on the Self-Prompting Segmentation Framework Based on Segment Anything Model 2
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T19:50:56.600932Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 946e1a74-3f3c-4075-aa6f-cef934f31929 · inbound
Bootstrapping Vision-Language Model for Hysteroscopic Surgical Scene Segmentation cites this paper.
Bootstrapping Vision-Language Model for Hysteroscopic Surgical Scene Segmentation Det-SAM2:Technical Report on the Self-Prompting Segmentation Framework Based on Segment Anything Model 2
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T04:17:55.357859Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.