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Paper Citation Record · LEDGER

Forest-Chat: Adapting Vision-Language Agents for Interactive Forest Change Analysis

As of 7 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 0 inbound Pith citation observations for arXiv:2601.14637.

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

pith.paper-citation-record.v1
2601.14637 v2

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T09:13:39.593694Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

11 of 11 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved10
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 724aac14-7116-405b-b0bf-0ebdea6e0373 · outbound

This paper cites Advances in Neural Information Processing Sys- tems 36, 68539–68551.

Forest-Chat: Adapting Vision-Language Agents for Interactive Forest Change Analysis Advances in Neural Information Processing Sys- tems 36, 68539–68551

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-03T09:13:38.777611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:13:38.777611Z digest=sha256:fb4b759ff7313156d082b3d074963bb2338e74d20ca6d97d52688e1706d9564f

Observation 9ebe8132-8240-4509-8dc6-40e28f318cc9 · outbound

This paper cites arXiv preprint arXiv:2505.23752.

Forest-Chat: Adapting Vision-Language Agents for Interactive Forest Change Analysis arXiv preprint arXiv:2505.23752

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-03T09:13:38.933494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:13:38.933494Z digest=sha256:901f866cb639300dceb4108db7cc275ba408babfe46a47047ff7f6c3f06f8acd

Observation a084d748-36b1-45f8-a37b-c936004fb4b6 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Forest-Chat: Adapting Vision-Language Agents for Interactive Forest Change Analysis LLaMA: Open and Efficient Foundation Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-03T09:13:39.061217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:13:39.061217Z digest=sha256:f801033a020b77799c29e28fc7e80aa19023854a5e990e317f77a3089b916b63

Observation 6c312ba4-2c37-4d91-8d7b-64e5b69540bc · outbound

This paper cites RS-Agent: Automating Remote Sensing Tasks through Intelligent Agent.

Forest-Chat: Adapting Vision-Language Agents for Interactive Forest Change Analysis RS-Agent: Automating Remote Sensing Tasks through Intelligent Agent

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-03T09:13:39.180706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:13:39.180706Z digest=sha256:367052ee24d3c48d4720185e99331774c54167c04d3ea46fecee4709169d2fbe

Observation 67fe0baa-6321-4d1c-b79d-fc1438042f11 · outbound

This paper cites IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 17, 17052–17065.

Forest-Chat: Adapting Vision-Language Agents for Interactive Forest Change Analysis IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 17, 17052–17065

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-03T09:13:39.342684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:13:39.342684Z digest=sha256:76db297ab9062bd78b123cc4cc7c58df80011924d48e6efa83ba6b7b1f764d0e

Observation db1fc8e6-0c8d-41ee-a380-7cdf8473cb6c · outbound

This paper cites an unresolved cited work.

Forest-Chat: Adapting Vision-Language Agents for Interactive Forest Change Analysis Unresolved cited work

Reference 2009

Resolution
unresolved
no resolver link, observed 2026-08-03T09:13:38.523217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:13:38.523217Z digest=sha256:4d6206515a62cd4288c47d1e6d15d1206dee847d32e37e169e87511e587eb7be

Observation 44a1d363-2a59-431c-81a8-3e92cad6529e · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

Forest-Chat: Adapting Vision-Language Agents for Interactive Forest Change Analysis BERTScore: Evaluating Text Generation with BERT

Reference 2019

Resolution
malformed identifier
no resolver link, observed 2026-08-03T09:13:39.593694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:13:39.593694Z digest=sha256:843216961c7c1c301012f7bad1bd49404f2daabe4bcc7d427ae8c93b8ad10fae

Observation 1f89e965-43f4-4891-99bb-48d4022dfa55 · outbound

This paper cites Advances in neural information processing systems 33, 5824–5836.

Forest-Chat: Adapting Vision-Language Agents for Interactive Forest Change Analysis Advances in neural information processing systems 33, 5824–5836

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-03T09:13:39.491038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:13:39.491038Z digest=sha256:8cbb95db27f46f63642a1ae8d922f5ac0002fd181adf01539fb4ec65a5d615e2

Observation 918fbe15-52cc-4c9d-95dc-01f02737424f · outbound

This paper cites GPT-4o System Card.

Forest-Chat: Adapting Vision-Language Agents for Interactive Forest Change Analysis GPT-4o System Card

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-03T09:13:38.580985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:13:38.580985Z digest=sha256:7d9c2921267eae4729eed3a6adb600be1cea2bfcb1112a508f7522f2011dfaa7

Observation 9573271e-1e58-40bc-81ff-22004371ef3f · outbound

This paper cites InternLM2 Technical Report.

Forest-Chat: Adapting Vision-Language Agents for Interactive Forest Change Analysis InternLM2 Technical Report

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-03T09:13:38.456936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:13:38.456936Z digest=sha256:7c0fa88e0172f649c6b2b59ad8604266f48863e326a4834e6c355291d2a2c14c

Observation 03ada3d7-ec9f-47ba-9fd3-c9ee363b0aee · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Forest-Chat: Adapting Vision-Language Agents for Interactive Forest Change Analysis SAM 2: Segment Anything in Images and Videos

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-03T09:13:38.644078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:13:38.644078Z digest=sha256:22128b33d6893596b4a737840ac027431dceafc439e5efb746222afbc59d4f3a

Pith citing papers

No inbound Pith citation observations are available.