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Paper Citation Record · LEDGER

ReGuLaR: Relation-Grounded Latent Reasoning for Large Vision-Language Models

As of 22 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2605.30587.

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

pith.paper-citation-record.v1
2605.30587 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T07:39:30.470848Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

23 of 23 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4dd4b9aa-5f11-462b-a791-7140b9e37683 · outbound

This paper cites Sketch-in-latents: Eliciting unified reasoning in mllms.arXiv preprint arXiv:2512.16584.

ReGuLaR: Relation-Grounded Latent Reasoning for Large Vision-Language Models Sketch-in-latents: Eliciting unified reasoning in mllms.arXiv preprint arXiv:2512.16584

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T07:43:13.722248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-29T07:39:30.470848Z digest=sha256:f042ab73acacc148dd40b32f4d1ec94717eea0d7a7186a1dfddc2287b353cea6

Observation bb8b15b3-3e80-4378-9f3e-ad26b684b386 · outbound

This paper cites Machine Mental Imagery: Empower Multimodal Reasoning with Latent Visual Tokens.

ReGuLaR: Relation-Grounded Latent Reasoning for Large Vision-Language Models Machine Mental Imagery: Empower Multimodal Reasoning with Latent Visual Tokens

Reference 2

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metadata mismatch
local_arxiv, observed 2026-06-29T07:43:13.719590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-29T07:39:30.470848Z digest=sha256:9973b56bfec0f197ff9fbc792e3016988313633585d6751b359d752c1d6d65d4

Observation ce885466-3dee-41ae-a967-7140cb13b7c2 · outbound

This paper cites The training process takes approximately 70 hours to complete.

ReGuLaR: Relation-Grounded Latent Reasoning for Large Vision-Language Models The training process takes approximately 70 hours to complete

Reference 3

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no resolver link, observed 2026-06-29T07:39:30.470848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:39:30.470848Z digest=sha256:1795e72b7e36e9edc13e745d8435a685cfd58c5041e753fbaf8022c1e5b672c7

Observation 8d1c97c7-7d71-4de3-9e2c-f5d5cfa946f1 · outbound

This paper cites an unresolved cited work.

ReGuLaR: Relation-Grounded Latent Reasoning for Large Vision-Language Models Unresolved cited work

Reference 4

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unresolved
no resolver link, observed 2026-06-29T07:39:30.470848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:39:30.470848Z digest=sha256:f312a08a92e5ee3cc6e003eab9c3d6c371260028a3ea5bbcc6d0f9d4e9e7f3a3

Observation b8d7f863-e3e2-421b-97a6-a8c1cf868dbf · outbound

This paper cites Each object contains: - object_id: a unique identifier; - name: the object category or noun phrase; - attributes: optional visual attributes; - bbox: [x_min, y_min, x_max, y_max].

ReGuLaR: Relation-Grounded Latent Reasoning for Large Vision-Language Models Each object contains: - object_id: a unique identifier; - name: the object category or noun phrase; - attributes: optional visual attributes; - bbox: [x_min, y_min, x_max, y_max]

Reference 5

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unresolved
no resolver link, observed 2026-06-29T07:39:30.470848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:39:30.470848Z digest=sha256:6304784b3ee011543aa2cab6281d0f2250591b10397611d4dd02aa1951eddf03

Observation d3a5443c-87be-48c5-afc9-6be0b8d84706 · outbound

This paper cites Each relation contains: - subject_id; - subject_name; - relation; - object_id; - object_name.

ReGuLaR: Relation-Grounded Latent Reasoning for Large Vision-Language Models Each relation contains: - subject_id; - subject_name; - relation; - object_id; - object_name

Reference 6

Resolution
unresolved
no resolver link, observed 2026-06-29T07:39:30.470848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:39:30.470848Z digest=sha256:4d67d9c66136054cd88b588d51d6557127e3d4633d4b8b917f4eab0191d35b0a

Observation b1e9dd3b-143f-44c3-8736-74b0ada916d9 · outbound

This paper cites Task: Generate one question-answer pair grounded in one or more scene-graph relations.

ReGuLaR: Relation-Grounded Latent Reasoning for Large Vision-Language Models Task: Generate one question-answer pair grounded in one or more scene-graph relations

Reference 7

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no resolver link, observed 2026-06-29T07:39:30.470848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:39:30.470848Z digest=sha256:759b49c3e291b2a597fb5b3d169e196b60fb4ccb1e77301f97968c6370f04f28

Observation 49443bf8-92c6-4754-ae04-6ca96b05aa23 · outbound

This paper cites an unresolved cited work.

ReGuLaR: Relation-Grounded Latent Reasoning for Large Vision-Language Models Unresolved cited work

Reference 8

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no resolver link, observed 2026-06-29T07:39:30.470848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:39:30.470848Z digest=sha256:d2e869ed6783047032a2a6f8913160a0a13dd266766e3fce7d2f7e228e724d0a

Observation 5bddf598-3373-4620-952a-9a3871232a4d · outbound

This paper cites an unresolved cited work.

ReGuLaR: Relation-Grounded Latent Reasoning for Large Vision-Language Models Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-06-29T07:39:30.470848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:39:30.470848Z digest=sha256:28de5a2b95b685743fda682abb8666944e35295fba3be61989febc019c2cf5e4

Observation 55bdf9e5-a062-49d0-a475-e0178a305f66 · outbound

This paper cites an unresolved cited work.

ReGuLaR: Relation-Grounded Latent Reasoning for Large Vision-Language Models Unresolved cited work

Reference 10

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unresolved
no resolver link, observed 2026-06-29T07:39:30.470848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:39:30.470848Z digest=sha256:036bcf06f8d508ce53daaf95c2adac3f8263e8d5aff0676a6b8f650e38e9d0dd

Observation 24456828-9079-4625-ad8a-e9ff0ca41ee8 · outbound

This paper cites an unresolved cited work.

ReGuLaR: Relation-Grounded Latent Reasoning for Large Vision-Language Models Unresolved cited work

Reference 11

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unresolved
no resolver link, observed 2026-06-29T07:39:30.470848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:39:30.470848Z digest=sha256:20a67aca1e38dce3a8dd2227e47f1db93a4a0ba0efd89c69733e9684353dac06

Observation ad1c0eea-7bea-4fa0-8209-3f1e2d9e57dd · outbound

This paper cites an unresolved cited work.

ReGuLaR: Relation-Grounded Latent Reasoning for Large Vision-Language Models Unresolved cited work

Reference 12

Resolution
unresolved
no resolver link, observed 2026-06-29T07:39:30.470848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:39:30.470848Z digest=sha256:95199295e8e6aae75bedda9dfcaafb1d56e18edd0ceb01e260a02742717a8fbd

Observation 8d68b1ed-9825-405b-bf0e-054d5fb5b106 · outbound

This paper cites an unresolved cited work.

ReGuLaR: Relation-Grounded Latent Reasoning for Large Vision-Language Models Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-06-29T07:39:30.470848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:39:30.470848Z digest=sha256:e0bd591fe52db90dd9f4fca9e73b056e8211d5cd5ae1d15bd0e731b9fa98dccc

Observation 1183ab30-4ede-4860-9979-b483fa8593b5 · outbound

This paper cites Do not infer information that is not supported by the image and annotations.

ReGuLaR: Relation-Grounded Latent Reasoning for Large Vision-Language Models Do not infer information that is not supported by the image and annotations

Reference 14

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unresolved
no resolver link, observed 2026-06-29T07:39:30.470848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:39:30.470848Z digest=sha256:e0e181998b30260ab6b7fe6193d731ec4a0ae6376039e7d28fa2461a81e0c7fc

Observation d26d3577-0f98-419d-bf14-ea0bce23d645 · outbound

This paper cites an unresolved cited work.

ReGuLaR: Relation-Grounded Latent Reasoning for Large Vision-Language Models Unresolved cited work

Reference 15

Resolution
unresolved
no resolver link, observed 2026-06-29T07:39:30.470848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:39:30.470848Z digest=sha256:a0c6164558f38ec951b57e8b768d7eadb2082194cd87b5700c13a151b3d6e647

Observation d7bbf16f-8437-476d-85a5-01c9f87b7e98 · outbound

This paper cites an unresolved cited work.

ReGuLaR: Relation-Grounded Latent Reasoning for Large Vision-Language Models Unresolved cited work

Reference 16

Resolution
unresolved
no resolver link, observed 2026-06-29T07:39:30.470848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:39:30.470848Z digest=sha256:d682b10b5e436e99959300d15ce86ac770589cf4c712f78d55cba1fa077e6eb5

Observation df795daa-9a35-4f76-9aa1-5468a8e93078 · outbound

This paper cites Validation Before Output: Before returning the result, verify that:.

ReGuLaR: Relation-Grounded Latent Reasoning for Large Vision-Language Models Validation Before Output: Before returning the result, verify that:

Reference 17

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unresolved
no resolver link, observed 2026-06-29T07:39:30.470848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:39:30.470848Z digest=sha256:22fe9bdafe50bf4f52f0b4d9d5680279b71ef0bcc6df786c8bce1ecd9e888977

Observation 462cf940-3500-4663-a000-b3c113769c82 · outbound

This paper cites an unresolved cited work.

ReGuLaR: Relation-Grounded Latent Reasoning for Large Vision-Language Models Unresolved cited work

Reference 18

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unresolved
no resolver link, observed 2026-06-29T07:39:30.470848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:39:30.470848Z digest=sha256:d8bba2dffc7d0ab8c4df6e808838e14d9e2f26bf03519a75125c5d567ee2fcfd

Observation b525a933-7d5d-4f0e-ad79-37ac872209a0 · outbound

This paper cites an unresolved cited work.

ReGuLaR: Relation-Grounded Latent Reasoning for Large Vision-Language Models Unresolved cited work

Reference 19

Resolution
unresolved
no resolver link, observed 2026-06-29T07:39:30.470848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:39:30.470848Z digest=sha256:a435c00bef2c5286666c298893b9b50af662e069d868383ac6239ba325bffca3

Observation 42e82b90-e5cf-41c4-9ac1-45fe43597936 · outbound

This paper cites an unresolved cited work.

ReGuLaR: Relation-Grounded Latent Reasoning for Large Vision-Language Models Unresolved cited work

Reference 20

Resolution
unresolved
no resolver link, observed 2026-06-29T07:39:30.470848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:39:30.470848Z digest=sha256:04a510dd675ab741db461c2569f9db4cbfc292756e4654bf7197a7b601a61245

Observation d5e6b575-6a66-4b08-a477-e288b0069b93 · outbound

This paper cites an unresolved cited work.

ReGuLaR: Relation-Grounded Latent Reasoning for Large Vision-Language Models Unresolved cited work

Reference 21

Resolution
unresolved
no resolver link, observed 2026-06-29T07:39:30.470848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:39:30.470848Z digest=sha256:4a7a6155fcdabd38b977a97cfaf2fe66ba078c86cb7d52db2eaf7654a4039540

Observation 49314b21-3a76-47ea-835c-5e4e4a622f2a · outbound

This paper cites an unresolved cited work.

ReGuLaR: Relation-Grounded Latent Reasoning for Large Vision-Language Models Unresolved cited work

Reference 22

Resolution
unresolved
no resolver link, observed 2026-06-29T07:39:30.470848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:39:30.470848Z digest=sha256:d6a5b598604f4b491bae5d9015550471d7edac4c61259fc0cad78aca21dafd10

Observation a463f778-e844-41e5-b97b-049db8430148 · outbound

This paper cites status":.

ReGuLaR: Relation-Grounded Latent Reasoning for Large Vision-Language Models status":

Reference 23

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unresolved
no resolver link, observed 2026-06-29T07:39:30.470848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:39:30.470848Z digest=sha256:6f3e8bf8f2f0a9ff97b0898a58fea8cb97600721673c4ea6628ac57c05a5ee8a

Pith citing papers

No inbound Pith citation observations are available.