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Paper Citation Record · LEDGER

Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2407.10956.

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

pith.paper-citation-record.v1
2407.10956 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T23:25:17.416071Z

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

2
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 ee8b7b91-7dcb-45f5-8ae3-8d784c227329 · inbound

Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction cites this paper.

Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:09:41.707996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T04:09:41.494136Z digest=sha256:ff4a4f4f03310a5d420ff6f50e132ee7953e2eacce0e7b734b0b63c560421bfc

Observation 7de16c15-aa72-44e3-b937-e58b45e968fd · inbound

VLAA-GUI: Knowing When to Stop, Recover, and Search, A Modular Framework for GUI Automation cites this paper.

VLAA-GUI: Knowing When to Stop, Recover, and Search, A Modular Framework for GUI Automation Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-09T22:34:07.744901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-09T22:24:45.045405Z digest=sha256:822e85b5219e8644c2b60e2855dfbcb8b8923610a67e7094b1c50f28d365169f

Observation be919de6-1da8-4bbd-8c64-ee0c5bb2a52b · inbound

Free Energy-Driven Reinforcement Learning with Adaptive Advantage Shaping for Unsupervised Reasoning in LLMs cites this paper.

Free Energy-Driven Reinforcement Learning with Adaptive Advantage Shaping for Unsupervised Reasoning in LLMs Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?

Reference 109

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T07:45:59.254389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-10T16:58:10.013475Z digest=sha256:0b28ca304cef3675170501f0d80fb9056eeea64d70ef2be2915692be98750a47

Observation 5c7dedbb-d4cf-456c-8c92-71bc11915883 · inbound

Adapt to Thrive! Adaptive Power-Mean Policy Optimization for Improved LLM Reasoning cites this paper.

Adapt to Thrive! Adaptive Power-Mean Policy Optimization for Improved LLM Reasoning Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?

Reference 94

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T08:01:00.201698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-10T16:51:19.555272Z digest=sha256:887a591b289902f44f455eb7e61f887f5678bbe93da195ff61305eab3fd2ed28

Observation 27c1d722-381a-42cf-9af1-cb2adb75832b · inbound

Business Utility of Large Language Models as Exploratory Data Analysis Agents cites this paper.

Business Utility of Large Language Models as Exploratory Data Analysis Agents Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T23:35:06.992881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-30T23:25:17.416071Z digest=sha256:b68471e4286a9bb39e4cc0e722161a91448d2746018bfa5c3448560d1def9744

Observation f85ecd25-818e-4cb0-930d-895be1e9efe6 · inbound

ChainWorld: Composing Long-Horizon Desktop Workloads from Atomic OSWorld Tasks cites this paper.

ChainWorld: Composing Long-Horizon Desktop Workloads from Atomic OSWorld Tasks Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-04T06:49:38.862300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T14:05:28.423719Z digest=sha256:d7b2951df6737e125741d38fe391bbf17073844d057a59dc65517c9faa9afb58