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Paper Citation Record · LEDGER

Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing

As of 10 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2501.14905.

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

pith.paper-citation-record.v1
2501.14905 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:52:22.209475Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

32 of 32 outbound references displayed

  • verified exact3
  • verified fuzzy1
  • unresolved27
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d7721e65-f270-4217-b496-61a3914c22c0 · outbound

This paper cites Exploring Robust Features for Few-Shot Object Detection in Satellite Imagery.

Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing Exploring Robust Features for Few-Shot Object Detection in Satellite Imagery

Reference 1

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local_arxiv, observed 2026-08-10T14:52:22.516199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 04e5c1be-a644-45c6-b53f-e90877ecb0ac · outbound

This paper cites an unresolved cited work.

Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing Unresolved cited work

Reference 2

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 94c43965-183f-44a0-a673-1f13fea60968 · outbound

This paper cites Functional Map of the World.

Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing Functional Map of the World

Reference 3

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T14:52:22.079250Z digest=sha256:0f2dcf216814473b230c0d4b405da6afe855ac6ebc0af3b5f3b38d063e1e55bc

Observation a6acc28e-8628-4277-b476-2c5b009ec493 · outbound

This paper cites Towards Question-Answering as an Automatic Metric for Evaluating the Content Quality of a Summary.

Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing Towards Question-Answering as an Automatic Metric for Evaluating the Content Quality of a Summary

Reference 4

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verified exact
local_arxiv, observed 2026-08-10T14:52:22.482796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T14:52:22.084114Z digest=sha256:468405d5fe7b990c09679aecafd13dddfa50f048a26885003f7288a30edb88f6

Observation 328ba96f-8d96-490b-b354-2b2217ee9743 · outbound

This paper cites Handling Divergent Reference Texts when Evaluating Table-to-Text Generation.

Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing Handling Divergent Reference Texts when Evaluating Table-to-Text Generation

Reference 5

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verified exact
local_arxiv, observed 2026-08-10T14:52:22.462828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T14:52:22.088974Z digest=sha256:b43ea15dd9659f3b257e322df63767398d2df966a2782db5fc489d018b594750

Observation fad4fffc-e730-4f64-9fe9-a70f6b6a2236 · outbound

This paper cites A Survey of Vision-Language Pre-Trained Models.

Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing A Survey of Vision-Language Pre-Trained Models

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4c98248e-e316-43c0-9a18-284e03fbc20a · outbound

This paper cites an unresolved cited work.

Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing Unresolved cited work

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation d48303ad-b0f9-47a1-8ccf-ba260834b363 · outbound

This paper cites an unresolved cited work.

Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing Unresolved cited work

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 66d1810e-7cf4-480a-8d1d-c1c985cee674 · outbound

This paper cites J.; Madotto, A.; and Fung, P.

Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing J.; Madotto, A.; and Fung, P

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-10T14:52:22.651974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation bfba817b-2aa0-49ec-8496-0db71bc8659d · outbound

This paper cites DiffusionSat: A Generative Foundation Model for Satellite Imagery.

Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing DiffusionSat: A Generative Foundation Model for Satellite Imagery

Reference 10

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Unavailable: canonical work link unavailable.

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Observation 3558abbd-d146-4c23-b71c-215b220d98dd · outbound

This paper cites BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models.

Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

Reference 11

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Observation e03314c2-525e-4c2b-8be1-c2d69cb1a552 · outbound

This paper cites an unresolved cited work.

Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing Unresolved cited work

Reference 12

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raw_fallback, observed 2026-08-10T14:52:22.638451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 4bb596db-f7ae-4a1d-8248-4259398478a6 · outbound

This paper cites an unresolved cited work.

Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing Unresolved cited work

Reference 13

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raw_fallback, observed 2026-08-10T14:52:22.623855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation f7744bfc-229f-4281-b425-20cc50957d69 · outbound

This paper cites RemoteCLIP: A Vision Language Foundation Model for Remote Sensing.

Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing RemoteCLIP: A Vision Language Foundation Model for Remote Sensing

Reference 14

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unresolved
no resolver link, observed 2026-08-10T14:52:22.130679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 39e2fc47-53c4-4978-88a4-2f5f557c7d2c · outbound

This paper cites A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation.

Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation

Reference 15

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no resolver link, observed 2026-08-10T14:52:22.135228Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:52:22.135228Z digest=sha256:190a4db93e832aae2ac57b9c3f4d8f315a644d695eca902330efc93dd34acd15

Observation 561d96fb-4bab-49e7-9d69-6fb222984858 · outbound

This paper cites an unresolved cited work.

Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing Unresolved cited work

Reference 16

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raw_fallback, observed 2026-08-10T14:52:22.610289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 58c82d19-f1b6-4c88-ab74-476bc7be3be1 · outbound

This paper cites Vision-and-Language Pretrained Models: A Survey.

Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing Vision-and-Language Pretrained Models: A Survey

Reference 17

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Unavailable: canonical work link unavailable.

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Observation 376b74bf-0604-4ca7-9c09-a9628c8b1c86 · outbound

This paper cites an unresolved cited work.

Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing Unresolved cited work

Reference 18

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no resolver link, observed 2026-08-10T14:52:22.148261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 842519a2-a10e-46e3-a4a2-37e16b7df447 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing Learning Transferable Visual Models From Natural Language Supervision

Reference 19

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no resolver link, observed 2026-08-10T14:52:22.152460Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T14:52:22.152460Z digest=sha256:3a0f18ad5d9caa6ac4e2eb8f1548cf2ec16d5139612606a7d594b2079151d6be

Observation 5bf2810b-dc83-4629-9f99-79ae354a89d4 · outbound

This paper cites Increasing Faithfulness in Knowledge-Grounded Dialogue with Controllable Features.

Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing Increasing Faithfulness in Knowledge-Grounded Dialogue with Controllable Features

Reference 20

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Observation 5d43cf25-e06c-4b10-8ba8-fda76f919b6d · outbound

This paper cites Object Hallucination in Image Captioning.

Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing Object Hallucination in Image Captioning

Reference 21

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no resolver link, observed 2026-08-10T14:52:22.161636Z

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Unavailable: canonical work link unavailable.

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Observation eaa95f4a-e13f-4eb2-8e38-c01f3984328b · outbound

This paper cites Natural Language Processing for Information Extraction.

Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing Natural Language Processing for Information Extraction

Reference 22

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Unavailable: canonical work link unavailable.

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Observation b4c31176-64bd-49eb-b5c1-bc8460af653c · outbound

This paper cites an unresolved cited work.

Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing Unresolved cited work

Reference 23

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raw_fallback, observed 2026-08-10T14:52:22.588160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 20399ace-0183-4abd-a47e-163999afe3b0 · outbound

This paper cites an unresolved cited work.

Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing Unresolved cited work

Reference 24

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raw_fallback, observed 2026-08-10T14:52:22.574851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T14:52:22.174809Z digest=sha256:6f8b19f9999df496c826ceea02ca77a6ca9a21b1ff05c94146de80be7ca96479

Observation 0d98b066-4f91-4bb9-89c1-4c6b783f0a5b · outbound

This paper cites SkyScript: A Large and Semantically Diverse Vision-Language Dataset for Remote Sensing.

Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing SkyScript: A Large and Semantically Diverse Vision-Language Dataset for Remote Sensing

Reference 25

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unresolved
no resolver link, observed 2026-08-10T14:52:22.179088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 42cad285-ba0c-470d-b11f-ff60401affec · outbound

This paper cites an unresolved cited work.

Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing Unresolved cited work

Reference 26

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unresolved
raw_fallback, observed 2026-08-10T14:52:22.561190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T14:52:22.183356Z digest=sha256:7a91da55cca69751b68fdfddec335bf476d0d6597e420ee1cf1a61e3f6ec950f

Observation 150303e0-94fc-4ed8-a958-f3e40a0e5430 · outbound

This paper cites A Controllable Model of Grounded Response Generation.

Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing A Controllable Model of Grounded Response Generation

Reference 27

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verified exact
local_arxiv, observed 2026-08-10T14:52:22.285846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 56623872-f4d4-453d-a31b-ca0e60818610 · outbound

This paper cites ChatEarthNet: A Global-Scale Image-Text Dataset Empowering Vision-Language Geo-Foundation Models.

Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing ChatEarthNet: A Global-Scale Image-Text Dataset Empowering Vision-Language Geo-Foundation Models

Reference 28

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unresolved
no resolver link, observed 2026-08-10T14:52:22.192144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation aeb716fe-2ab2-426d-9868-d18a5a925f88 · outbound

This paper cites Vision-Language Models for Vision Tasks: A Survey.

Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing Vision-Language Models for Vision Tasks: A Survey

Reference 29

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unresolved
no resolver link, observed 2026-08-10T14:52:22.196338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:52:22.196338Z digest=sha256:9027cf84fb9d07d0ffdaf88eadcc82b7a0319c5d2c06157265b34753c1f2d817

Observation be5fd286-9986-47cc-bb30-7a44b65375a3 · outbound

This paper cites an unresolved cited work.

Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing Unresolved cited work

Reference 30

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raw_fallback, observed 2026-08-10T14:52:22.547355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 4f67a299-7de2-4f93-945c-d88a6fbb9ad0 · outbound

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Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing , " * write output.state after.block = add.period write newline

Reference 31

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no resolver link, observed 2026-08-10T14:52:22.204858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation aa118380-61d2-4246-ba93-a30c3991c4e7 · outbound

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Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing write newline

Reference 32

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no resolver link, observed 2026-08-10T14:52:22.209475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.