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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 10 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 2026-08-10T06:31:04.303077+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

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:09:40.514502Z digest=sha256:c99491fba58ccc48821d83bdbc57b42f28de911f02a567ba0d5176eb79b3c0c7

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:09:40.520700Z digest=sha256:2598b88599d82f077ddffeb5d852a32647fd5602680282a8720ef69def8ac76d

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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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=pdf_text observed=2026-08-09T22:09:40.525642Z digest=sha256:b3282bc9798e4ef6ab71d2676a1b2a835998759a016b223f8c4849fc8c344172

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=sha256:1106697afd6ad59361d020a148df3a86639dcca64725d3da1a96a880e937083c

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:c589a2cbae92554151241679b01d01a590b85a66da2df2d09412382c05707637

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:09:40.542593Z digest=sha256:0fecc308346238bd233cf7d6749cb6fb941ef13a60ab595131d46e20f2ae6528

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:09:40.548417Z digest=sha256:246dcd1f9b28b26a2c6faf7b636685d766403d7b009381119b39e2062dc2df44

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:09:40.554026Z digest=sha256:00b6de71e1604f33efe35147961ac52df5cac20337dbf5614cc2406ba3f5e456

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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raw_fallback, observed 2026-08-09T22:09:42.252930Z

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=pdf_text observed=2026-08-09T22:09:40.559397Z digest=sha256:01929c4368c8a628db4b6e97f2f61022ca8f351c292bc409caa207876950c5ff

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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source=pdf_text observed=2026-08-09T22:09:40.564525Z digest=sha256:c06340e235d96d9e07973faad4714a1b7a36bd13cdc460539250cbed23276cc5

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=sha256:18afc479ef728d639ffbb3e478f87506606df3113ebcbc622c3b431a496d5d1d

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:09:40.579690Z digest=sha256:361474d38dcdfb9cbc7d17df16233fa4f88a6cf58423414caa80adc98f3b406c

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=sha256:638cb12208391cf7f407afe91c134613b2249e4049c9355e6b878afeaa83f778

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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no resolver link, observed 2026-08-09T22:09:40.595433Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:09:40.595433Z digest=sha256:c3ee5df4ad88ec7d0d40c00e6f9ac0dde18673a3b71773a69e69446a8ba8a449

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:bdae01064d3bb58a77b5c4d1dcfefd8666bae8f289feb667d5d5cdb0ed311d83

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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source=pdf_text observed=2026-08-09T22:09:40.607012Z digest=sha256:de9cad3b2c24ce1bdab4a15cc73f6ee0e4d8e7592cc29c81253d25305dc34a09

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:09:40.611956Z digest=sha256:15b6d665893555e69364b58d211015a826cc540695afbe7ec29a9e03d15223c4

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:09:40.617882Z digest=sha256:744c6fb4b4972b7274957e706e58d7d70532b3de337771c39ad3f5b902c21710

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=sha256:253f76c89727a3d79f374a0f4ada1e9acb856cebcab6cfeb26b6e1f1a82e23b3

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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no resolver link, observed 2026-08-09T22:09:40.627623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:09:40.627623Z digest=sha256:a9bc6fddbe85b239b6665cce4e13125aba1ef42cc2bfb8e6f466f6cfb8b9987c

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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no resolver link, observed 2026-08-09T22:09:40.633127Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:09:40.633127Z digest=sha256:282a933212ff4df150bb0ebdee21c0782f246e112df366ff21554de9ac2714ec

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:09:40.638196Z digest=sha256:681ffc7821c4d42981aa120256b157160e03e93b0de9147aec62c70ccbaa1190

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:09:40.643230Z digest=sha256:4a98d85fe2283395f9c083d3b7cc2966022672f096df2ce7581e3b8cf0909560

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:e9d03494e2dc96dbf0195471ea6ad157da2352665bcf728f237bc7071831ca2b

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:09:40.652483Z digest=sha256:9c15224a568db11eacf0974a029a4c7dd5164f987ec727489999b236e36bf94c

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=sha256:6a3f4a48b8f19ed41df4fe43bf7392eec85bb309bee3ddd25049bf1e0089f21a

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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no resolver link, observed 2026-08-09T22:09:40.668196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:09:40.668196Z digest=sha256:76b4a89a07a6b325d36c21a3e2e818f7643ba9d157073dd3eb711b4ed557db0b

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:d953d917d200c401fad761640558191671a118ed74085e71d95cbe9f2935c4ec

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:09:40.679213Z digest=sha256:9879c848d930ab45f6fcce01aa7a6db64f2ab21419ef4766d6ee419c8861b51a

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:09:40.684911Z digest=sha256:62ddd8e28bca490a8ef5697a9c1315b2adeb0820e2bc9c310967d08b6db23ca6

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:09:40.690428Z digest=sha256:78cdf2890723731a542e20ddf76627ba1b67f35db455b82febc6e70eafa5b818

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:09:40.695363Z digest=sha256:574fa2df9c564d7229a2c79a9ce949cf2034c103da5d6cb6df53e4bc495d38b1

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:09:40.700923Z digest=sha256:b7cdcfae9636e890dec287b33f9b483e389609013d5e353dec73fabd0ecdbfa9

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:09:40.706296Z digest=sha256:9a061fe0de782006551a923d97924d48cf46074c6bfe6db247d6194c98c81c68

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

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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 2026-08-10T06:31:04.303077+00:00.

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:09:40.722524Z digest=sha256:26ec0460d5c23781da515775d2c1f386a561e1b319aeaf400c02c7bdeadd0433

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=sha256:27ecf6f592e2111bcffd8b48496a129c5888b57fa660acf9388ef85a7610cf07

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 2026-08-10T06:31:04.303077+00:00.

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T22:09:40.738075Z digest=sha256:307aef0874e6c75d901377d297f16d586d37a23ac1af6b2af223c49d42a971df

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=sha256:7a301123355aa324db884ba9ac07a4eeb1e56bba772ea8b814e485a941fec4dc

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.

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Pith citing papers

No inbound Pith citation observations are available.