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Paper Citation Record · LEDGER

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception

As of 23 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2501.18880.

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

pith.paper-citation-record.v1
2501.18880 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T22:09:40.738075Z

measured 42 of 42 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

42 of 42 outbound references displayed

  • verified exact7
  • verified fuzzy2
  • unresolved32
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation de3fed06-c367-43de-a994-64f42b9bf650 · outbound

This paper cites an unresolved cited work.

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception Unresolved cited work

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:09:40.514502Z digest=sha256:5ae506cbbb8c3fc89ce8f86d0d431a61b481dc9de38d7f57c967efdca8c6d4d6

Observation 0cfbb13a-06fc-4685-934d-294fed8ac83f · outbound

This paper cites Ash, Chicheng Zhang, Akshay Krishnamurthy, John Langford, and Alekh Agarwal.

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception Ash, Chicheng Zhang, Akshay Krishnamurthy, John Langford, and Alekh Agarwal

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-09T22:09:42.436367Z

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=2026-08-09T22:09:40.520700Z digest=sha256:f26a9c8f9e9f041a243ac0a5f9927b5b11e91a1b31c9a60710336ba874ab0167

Observation ce6917bb-7263-46dc-b14f-d61b1c222ec3 · outbound

This paper cites an unresolved cited work.

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception Unresolved cited work

Reference 3

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raw_fallback, observed 2026-08-09T22:09:42.351689Z

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=2026-08-09T22:09:40.525642Z digest=sha256:a757c93fa953faf1d799ebd4404d837a2ca481d9ae84a06ac433f9ad7a6073f5

Observation e2ddf588-9775-443a-b975-5da9d2965dfe · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:09:40.530847Z digest=sha256:c51462e3e0a41e870e0d0132b17ed54ea90b433a72c9496b63a3c02ec78449cf

Observation 13d8f59e-8a72-40ec-8128-f08d57cc98cc · outbound

This paper cites PaliGemma: A versatile 3B VLM for transfer.

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception PaliGemma: A versatile 3B VLM for transfer

Reference 5

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source=pdf_text observed=2026-08-09T22:09:40.536506Z digest=sha256:14f0ef5705aa3e33bfbc4f13c5ebf6e982ee99f8d2ff499b1bfe459b3b4d250c

Observation 10ad32f0-5b1d-4f62-abb3-915f5de1249b · outbound

This paper cites an unresolved cited work.

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception Unresolved cited work

Reference 6

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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=2026-08-09T22:09:40.542593Z digest=sha256:e62bc4c209ba48afa8534769f617d380b015e1f6a2792d80b71a507a34a87816

Observation 587a9522-296c-461a-8124-a3999261de9a · outbound

This paper cites an unresolved cited work.

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception 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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T22:09:40.548417Z digest=sha256:7cc92f14445822421043f323f1e737ce96156b7cb8ee4783648316eac8990601

Observation c40cb96f-e682-4694-9bdb-48e7ddcb94eb · outbound

This paper cites an unresolved cited work.

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception Unresolved cited work

Reference 8

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raw_fallback, observed 2026-08-09T22:09:42.271684Z

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=2026-08-09T22:09:40.554026Z digest=sha256:d75ca7631ca91fa19a4cc15bf9aec12c3dd92a66bd2a16f90ccb9db9bb92797d

Observation 75f69ebc-beaf-4c39-b67b-acbf43599410 · outbound

This paper cites an unresolved cited work.

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception Unresolved cited work

Reference 9

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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=2026-08-09T22:09:40.559397Z digest=sha256:549c52c9a00ad59b9cb8dd8c77d732231513c0ccb5a76495c0fd9b059f0a44d3

Observation 2064c73e-c4e2-4bee-a8b1-9a30c133e8ec · outbound

This paper cites Physically Grounded Vision-Language Models for Robotic Manipulation.

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception Physically Grounded Vision-Language Models for Robotic Manipulation

Reference 10

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:09:40.564525Z digest=sha256:2bf36126db53def265a2de7c303e21e0c54d8a170f2fb096763ee1e21099882d

Observation a775237c-77e4-43fd-8d2b-4dec53b725b7 · outbound

This paper cites an unresolved cited work.

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception Unresolved cited work

Reference 12

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:09:40.575218Z digest=sha256:1de27d98df23ae0405693a5cedac70cb7377241e7ec0dc240d58129077eca80f

Observation 79054ad6-3009-437f-8d27-06307751050b · outbound

This paper cites Zahid Hasan, Jiajing Chen, Jiyang Wang, Mohammed Shaiqur Rahman, Ameya Joshi, Senem Velipasalar, Chinmay Hegde, Anuj Sharma, and Soumik Sarkar.

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception Zahid Hasan, Jiajing Chen, Jiyang Wang, Mohammed Shaiqur Rahman, Ameya Joshi, Senem Velipasalar, Chinmay Hegde, Anuj Sharma, and Soumik Sarkar

Reference 13

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arxiv_id_nonexistent, observed 2026-08-09T22:09:41.873510Z

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=2026-08-09T22:09:40.579690Z digest=sha256:289f93fa2be20d89945efb407ec477718ce62dbce5591992d4f087179ef826f0

Observation a570b44f-3883-41c2-9c0a-6b86bab3edeb · outbound

This paper cites an unresolved cited work.

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception Unresolved cited work

Reference 14

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:09:40.584663Z digest=sha256:b75c4ea61730878a23df479b9f260bc48aa17543e92dfa056876c628028da4f2

Observation 8c27f7b1-4c15-4220-82cc-8270aec56621 · outbound

This paper cites an unresolved cited work.

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception Unresolved cited work

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:09:40.595433Z digest=sha256:1389fa95f8d9aa94de0fd682d55eb1cb2f741699aa2b04b22c2855466eca4668

Observation 9d6dc674-c2d9-4982-a453-fcaa5af1022f · outbound

This paper cites Unity: A General Platform for Intelligent Agents.

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception Unity: A General Platform for Intelligent Agents

Reference 16

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source=pdf_text observed=2026-08-09T22:09:40.601188Z digest=sha256:55e0c7a1160d74224422dd368e50de7e6e6ef3d3b8036ff41db9e47cc4e2c25c

Observation cb8cb14b-4c45-4b75-b12f-4a93b0aa75ac · outbound

This paper cites an unresolved cited work.

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception Unresolved cited work

Reference 17

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:09:40.607012Z digest=sha256:306018b8defb347cbc359fdea793340eca227812b6b6801c1fd76308d2c2d85e

Observation e12b3adb-4106-4ca3-b6c8-baee845dd29f · outbound

This paper cites an unresolved cited work.

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception Unresolved cited work

Reference 18

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verified exact
doi, observed 2026-08-09T22:09:40.793006Z

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=2026-08-09T22:09:40.611956Z digest=sha256:ae14751d704115b60b02863a74e802dbce96556fefc51257176ad81f15fe507e

Observation 7835c526-878b-4776-8627-94c9b8eba80c · outbound

This paper cites an unresolved cited work.

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception Unresolved cited work

Reference 19

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verified exact
arxiv_id_nonexistent, observed 2026-08-09T22:09:41.651804Z

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=2026-08-09T22:09:40.617882Z digest=sha256:f742b01170fd47985bc8aa75120d0ebf7c016672850a2c9ac8738780d15badfe

Observation 00aff4be-1dd1-4cb9-b1e3-103d6b220d2c · outbound

This paper cites Re-Thinking Inverse Graphics With Large Language Models.

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception Re-Thinking Inverse Graphics With Large Language Models

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:09:40.622742Z digest=sha256:ceaeed8d54c6c130f7d50d8650637e12ff4f1e7cbc2846f977affcccdc7b0fb6

Observation eca4d9dd-b8b6-4138-96d8-23b80e962e9d · outbound

This paper cites BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation.

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:09:40.627623Z digest=sha256:a85123d39b4f4c78d8ab239a0d11b13e5f8c0bcd549ee37df0b162d1acc79adf

Observation 6606cd35-c758-4480-aa4c-56202f079c4d · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 22

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:09:40.633127Z digest=sha256:f03a1912b2dfed6714587e619c4f18e5209a71918686503e0697c3a0dc9cbde9

Observation 3d6c17ff-4ef0-461f-8d0e-1a695620c4ba · outbound

This paper cites ReFT: Reasoning with Reinforced Fine-Tuning.

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception ReFT: Reasoning with Reinforced Fine-Tuning

Reference 23

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source=pdf_text observed=2026-08-09T22:09:40.638196Z digest=sha256:bd6ac3239098d0c7724ee1162341022575ef051f636050b6fd37a9678704740c

Observation f1819311-eadd-425b-8b72-22515561f45e · outbound

This paper cites an unresolved cited work.

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception Unresolved cited work

Reference 24

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verified exact
doi, observed 2026-08-09T22:09:40.776690Z

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=2026-08-09T22:09:40.643230Z digest=sha256:8701478a2a9c944118fab161ad51be9bb4f5c724389e7515af4d40cf42998333

Observation 279b4513-b517-45ca-a037-46b93502800d · outbound

This paper cites an unresolved cited work.

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception Unresolved cited work

Reference 25

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source=pdf_text observed=2026-08-09T22:09:40.647722Z digest=sha256:40a4cbddd1fdb4197b8354f08fd1e27e3a9576f1aec9c756d12eca61714ce4db

Observation a030b979-4d68-4e03-8bfc-34af25a48469 · outbound

This paper cites an unresolved cited work.

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception Unresolved cited work

Reference 26

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source=pdf_text observed=2026-08-09T22:09:40.652483Z digest=sha256:96da8954521d60cf40cce7f0c86c2f4468af016280a8db14fa143730a78602e1

Observation 0667e12e-b076-48bd-bfd8-a9ed4736e42b · outbound

This paper cites an unresolved cited work.

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception Unresolved cited work

Reference 27

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no resolver link, observed 2026-08-09T22:09:40.662974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:09:40.662974Z digest=sha256:fc21890b74359736f57c907f7245e9d09cb9fbc0d2be2a96d245a865ddd57586

Observation a369790b-103a-41ef-a243-aae1bcd63d17 · outbound

This paper cites A Survey of Deep Active Learning.

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception A Survey of Deep Active Learning

Reference 28

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:09:40.668196Z digest=sha256:c2ae92093a63901dc01e1ec94ead120d6adac7834d12f5c9ba33d74244d1e409

Observation 0a51abdb-b03a-45aa-b2eb-2c767d7e2247 · outbound

This paper cites VLFM: Vision-Language Frontier Maps for Zero-Shot Semantic Navigation.

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception VLFM: Vision-Language Frontier Maps for Zero-Shot Semantic Navigation

Reference 29

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no resolver link, observed 2026-08-09T22:09:40.673725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:09:40.673725Z digest=sha256:dac40917520cdb02132b6599303140a50a5c7c28a7e2c72162dd6e955ccfad8e

Observation 184bef16-7f46-4ab5-94a6-9f0974e6eb1a · outbound

This paper cites Learning to summarize from human feedback.

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception Learning to summarize from human feedback

Reference 30

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no resolver link, observed 2026-08-09T22:09:40.679213Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:09:40.679213Z digest=sha256:faefbd9cfe9fdf1b75324fd03eeea7da3dfdfb89280a0a08c6df227eab9a319f

Observation 4181fd91-b2a0-42c3-9f62-70d8beb7773c · outbound

This paper cites an unresolved cited work.

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception Unresolved cited work

Reference 31

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unresolved
raw_fallback, observed 2026-08-09T22:09:42.090751Z

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=2026-08-09T22:09:40.684911Z digest=sha256:f9acb35f378b56a26189ac78bd8f9e96a1c3d91f6b99e52f4940bda08422b259

Observation 2db77c9d-41e6-4f7f-93fa-85a5547657a5 · outbound

This paper cites an unresolved cited work.

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception Unresolved cited work

Reference 32

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unresolved
raw_fallback, observed 2026-08-09T22:09:42.067000Z

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=2026-08-09T22:09:40.690428Z digest=sha256:473aa176227d959489aac1082fc79e2e8add555aa6e40f68966048c28f85fe31

Observation 861e4fd5-b28d-4d62-9daa-34b85176af7a · outbound

This paper cites 2022.Unity.

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception 2022.Unity

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-09T22:09:42.037308Z

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=2026-08-09T22:09:40.695363Z digest=sha256:15086ce71540188f9a007b49f03c2cb86ae60d9a20dae76e1deea9ff6257a059

Observation 99d8f9f7-4635-4950-9e2f-4b41725b0491 · outbound

This paper cites Active shooter detection and robust tracking utilizing supplemental synthetic data.

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception Active shooter detection and robust tracking utilizing supplemental synthetic data

Reference 34

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metadata mismatch
local_arxiv, observed 2026-08-09T22:09:41.325350Z

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=2026-08-09T22:09:40.700923Z digest=sha256:0efc250d28e41aec5c6c82ff7e9c4811e560c9a5ffed890cd300b2ea297baccd

Observation a3a8a757-4023-4492-8e43-b5ee0d251d48 · outbound

This paper cites an unresolved cited work.

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception Unresolved cited work

Reference 35

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unresolved
raw_fallback, observed 2026-08-09T22:09:42.006382Z

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=2026-08-09T22:09:40.706296Z digest=sha256:2dbcfbffc692de14f3d904b2ea718d783c87230c22ffc1f7048be625b033b63e

Observation 3ed4f953-c9f3-47ec-9735-d63b93fa5540 · outbound

This paper cites GENESIS-RL: GEnerating Natural Edge-cases with Systematic Integration of Safety considerations and Reinforcement Learning.

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception GENESIS-RL: GEnerating Natural Edge-cases with Systematic Integration of Safety considerations and Reinforcement Learning

Reference 36

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verified exact
local_arxiv, observed 2026-08-09T22:09:41.301858Z

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=2026-08-09T22:09:40.711217Z digest=sha256:67531c9c1e1c9dc40bbe3a01e0a1ffaddde0505ed84a103c99938ce7173b510f

Observation ffff8f40-1c8e-40a4-8cda-36a000e9836c · outbound

This paper cites an unresolved cited work.

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-09T22:09:41.985759Z

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=2026-08-09T22:09:40.716935Z digest=sha256:ed70799883e95e5193affb5c16fda9c9f79af652195676c8d7645fc7324ded08

Observation 0cc4c80b-08ad-4cc2-ab9a-6f6f5bf717a4 · outbound

This paper cites an unresolved cited work.

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-09T22:09:41.968533Z

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=2026-08-09T22:09:40.722524Z digest=sha256:ce431caa991de9e5fff9428f79e0553ade539582d7dd8d2263fc1dffb90b1f30

Observation 2c5a9231-ac47-4a73-8c04-215769c5d976 · outbound

This paper cites Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning.

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-09T22:09:40.727564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:09:40.727564Z digest=sha256:0fb21ba87f39b32d489da03b4d24388a2ab134a43c09310664294f8fb7f91279

Observation bddde0f6-bafa-4d4b-88b1-92ed8b8b382b · outbound

This paper cites an unresolved cited work.

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception Unresolved cited work

Reference 40

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-09T22:09:41.257306Z

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=2026-08-09T22:09:40.733078Z digest=sha256:24400ff9a982bc80e358a21a583fb94ae1523fdba8837b2702931665ae6f964d

Observation 20fa3dd5-b67b-4ded-9972-f9526ddf9089 · outbound

This paper cites an unresolved cited work.

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception Unresolved cited work

Reference 41

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-09T22:09:41.065472Z

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=2026-08-09T22:09:40.738075Z digest=sha256:4e5899a3dbb5a10f0079aa8fad543a1eebed9b97bf328cbcfcf6bcd9f0e596a2

Observation 12909de4-3f83-41ff-b2a6-ed1b848d4277 · outbound

This paper cites Bayesian Active Learning for Classification and Preference Learning.

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception Bayesian Active Learning for Classification and Preference Learning

Reference 2011

Resolution
unresolved
no resolver link, observed 2026-08-09T22:09:40.590213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:09:40.590213Z digest=sha256:841c71dc3fcec5094f75d439581624b5a48f380934041bf02beace5a7242a90a

Observation c67f38fd-d960-4392-95d9-c9e5dc46e8a8 · outbound

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

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception Learning Transferable Visual Models From Natural Language Supervision

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-09T22:09:40.657997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:09:40.657997Z digest=sha256:4084e56431e194069dbfa2f8ef57dd12bcf0b0e99c8059f523b4bae2e8ddfcf9

Pith citing papers

No inbound Pith citation observations are available.