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Paper Citation Record · LEDGER

FineGrasp: Towards Robust Grasping for Delicate Objects

As of 9 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2507.05978.

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

pith.paper-citation-record.v1
2507.05978 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:18:30.957368Z

measured 15 of 15 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 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

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy10
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ff5e319e-c239-43e6-8ac3-571f44628c31 · outbound

This paper cites Graspnet-1billion: A large- scale benchmark for general object grasping,.

FineGrasp: Towards Robust Grasping for Delicate Objects Graspnet-1billion: A large- scale benchmark for general object grasping,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:18:33.678886Z

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.

source=pdf_text observed=2026-08-06T19:18:29.107962Z digest=sha256:5fa0332afc0306ad854a06fd09961f9725590bc139002e54c8e0339e17687552

Observation e38425f0-18d2-450f-9aba-daf18e4fdf3b · outbound

This paper cites Anygrasp: Robust and efficient grasp perception in spatial and temporal domains,.

FineGrasp: Towards Robust Grasping for Delicate Objects Anygrasp: Robust and efficient grasp perception in spatial and temporal domains,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:18:33.489387Z

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.

source=pdf_text observed=2026-08-06T19:18:29.257788Z digest=sha256:b5fd8a9423d2c7d8cbd1e09effd5046a59229104c7a5a32e353f59a8ad423172

Observation 3dbc4dd1-fb29-4201-b621-b25cb4db5c1f · outbound

This paper cites An economic framework for 6-dof grasp detection,.

FineGrasp: Towards Robust Grasping for Delicate Objects An economic framework for 6-dof grasp detection,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:18:33.229534Z

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.

source=pdf_text observed=2026-08-06T19:18:29.401646Z digest=sha256:49e8607a7d9d9ea6704ae3a76199464c65dee512317c5ee72a8e8bcfa42af7c0

Observation f02976bf-5dfd-409a-9367-05cac0c82726 · outbound

This paper cites Copa: General robotic manipulation through spatial constraints of parts with foundation models,.

FineGrasp: Towards Robust Grasping for Delicate Objects Copa: General robotic manipulation through spatial constraints of parts with foundation models,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:18:32.936627Z

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.

source=pdf_text observed=2026-08-06T19:18:29.532174Z digest=sha256:abc818ec13660068c0f3b652d3779a4a9765ffdc00740ff7fcaa9de89084a73a

Observation 97f68f62-f7e0-4c96-bb87-1f2d9b4208a0 · outbound

This paper cites Thinkgrasp: A vision-language system for strategic part grasping in clutter,.

FineGrasp: Towards Robust Grasping for Delicate Objects Thinkgrasp: A vision-language system for strategic part grasping in clutter,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T19:18:29.631893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:18:29.631893Z digest=sha256:51735f22b7b1dba4bff96a1208367621ef07b392163ab664266f082132d4217e

Observation 09fb6c89-5ffd-48fa-be41-8195ddd6f904 · outbound

This paper cites Towards scale balanced 6-dof grasp detection in cluttered scenes,.

FineGrasp: Towards Robust Grasping for Delicate Objects Towards scale balanced 6-dof grasp detection in cluttered scenes,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:18:32.711343Z

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.

source=pdf_text observed=2026-08-06T19:18:29.712069Z digest=sha256:729d8aa8fc46b7bcf76ae12faa07e1ff1617ef65e9f8afde3e58039dedee188b

Observation 39e2a1c9-d048-4125-b607-5d13fd5257fb · outbound

This paper cites Grasp- ness discovery in clutters for fast and accurate grasp detection,.

FineGrasp: Towards Robust Grasping for Delicate Objects Grasp- ness discovery in clutters for fast and accurate grasp detection,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:18:32.446004Z

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.

source=pdf_text observed=2026-08-06T19:18:29.861732Z digest=sha256:d56d509bb920e4b31582d8a582a150380302dc7f047222fd01550db399851de9

Observation a602efd8-84b0-403d-845e-ecda4a7e7c8f · outbound

This paper cites Sim-grasp: Learning 6-dof grasp poli- cies for cluttered environments using a synthetic benchmark,.

FineGrasp: Towards Robust Grasping for Delicate Objects Sim-grasp: Learning 6-dof grasp poli- cies for cluttered environments using a synthetic benchmark,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:18:32.211273Z

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.

source=pdf_text observed=2026-08-06T19:18:29.968651Z digest=sha256:3a73e8986484c7ed8dbeae6e94976e2ddb8860d5d44aa8c98c0d74d1cfe5dc94

Observation d3b474bd-38a3-40eb-9ce6-5f1ede7834bd · outbound

This paper cites Gpu-accelerated robotic simulation for distributed reinforce- ment learning,.

FineGrasp: Towards Robust Grasping for Delicate Objects Gpu-accelerated robotic simulation for distributed reinforce- ment learning,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:18:31.970760Z

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.

source=pdf_text observed=2026-08-06T19:18:30.159983Z digest=sha256:f0e4213307d80d1b4c0b12449b81d7f98df51edc45222794566576eeab1213b0

Observation 9f19933b-9c65-47fa-ba17-f4202c9f19e7 · outbound

This paper cites Dexgraspnet 2.0: Learning generative dexterous grasping in large-scale synthetic cluttered scenes,.

FineGrasp: Towards Robust Grasping for Delicate Objects Dexgraspnet 2.0: Learning generative dexterous grasping in large-scale synthetic cluttered scenes,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:18:31.704011Z

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.

source=pdf_text observed=2026-08-06T19:18:30.348314Z digest=sha256:cce2e15a9551c4e1383107eeca5b4fd729476a677881aad099726a569e1f49ff

Observation 97ec471a-b161-4b94-bbad-2c8250bfae7c · outbound

This paper cites OK-Robot: What Really Matters in Integrating Open-Knowledge Models for Robotics.

FineGrasp: Towards Robust Grasping for Delicate Objects OK-Robot: What Really Matters in Integrating Open-Knowledge Models for Robotics

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T19:18:30.452423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:18:30.452423Z digest=sha256:378fea0adcc2677fa9883d950f3551fcfe964cd9410bb4b9cd7bf6f4e2623054

Observation 37b883db-48e7-47d6-b129-adeaf2d4b405 · outbound

This paper cites OmniManip: Towards General Robotic Manipulation via Object-Centric Interaction Primitives as Spatial Constraints.

FineGrasp: Towards Robust Grasping for Delicate Objects OmniManip: Towards General Robotic Manipulation via Object-Centric Interaction Primitives as Spatial Constraints

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T19:18:30.580660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:18:30.580660Z digest=sha256:d06130c2c69c97f26c873473eddbcb1ee86d3ec05eccfbd083382e98533cc735

Observation 6102395b-5c1b-4ed2-800a-64269bfb97ae · outbound

This paper cites Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos.

FineGrasp: Towards Robust Grasping for Delicate Objects Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T19:18:30.677072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:18:30.677072Z digest=sha256:7cced4e3532171faaf29cc51ed54cfa96abb98febb1986f4fce7deb081526b76

Observation e75ae207-87f2-4c1b-a667-cebff47ed04c · outbound

This paper cites Efficient heatmap- guided 6-dof grasp detection in cluttered scenes,.

FineGrasp: Towards Robust Grasping for Delicate Objects Efficient heatmap- guided 6-dof grasp detection in cluttered scenes,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T19:18:30.823325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:18:30.823325Z digest=sha256:d3705767408cc002d26d6a0f7feb06fb982d888087ab9b4678ae4db6624754e5

Observation df42ffc9-9595-453c-aa5d-19b70bf9bff7 · outbound

This paper cites Depth anything v2,.

FineGrasp: Towards Robust Grasping for Delicate Objects Depth anything v2,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:18:31.431703Z

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.

source=pdf_text observed=2026-08-06T19:18:30.957368Z digest=sha256:3901e13e06de1943c9149cc7d51ec427dca91bec065e68fa7f9553b4dd19696c

Pith citing papers

No inbound Pith citation observations are available.