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Paper Citation Record · LEDGER

Compile Scene Graphs with Reinforcement Learning

As of 23 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 10 inbound Pith citation observations for arXiv:2504.13617.

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

pith.paper-citation-record.v1
2504.13617 v4

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:06:54.471687Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:12:18.141347Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T20:10:08.028362Z

Reference resolution

44 of 44 outbound references displayed

  • verified exact0
  • verified fuzzy30
  • unresolved13
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 75f36d68-7093-4b19-8eb8-a87f6303b678 · outbound

This paper cites End-to-end object detection with transformers.

Compile Scene Graphs with Reinforcement Learning End-to-end object detection with transformers

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation d78c6ef4-a49a-4b93-8166-1a1c2c34f1e7 · outbound

This paper cites Knowledge-embedded routing network for scene graph generation.

Compile Scene Graphs with Reinforcement Learning Knowledge-embedded routing network for scene graph generation

Reference 2

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation a7017c79-aec9-4ac3-b996-11a41593a4bf · outbound

This paper cites GPT4SGG: Synthesizing Scene Graphs from Holistic and Region-specific Narratives.

Compile Scene Graphs with Reinforcement Learning GPT4SGG: Synthesizing Scene Graphs from Holistic and Region-specific Narratives

Reference 3

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Observation 2ed0b3c4-69f2-4d5f-8d45-e77ad25e64b8 · outbound

This paper cites Expanding scene graph boundaries: fully open-vocabulary scene graph generation via visual-concept alignment and retention.

Compile Scene Graphs with Reinforcement Learning Expanding scene graph boundaries: fully open-vocabulary scene graph generation via visual-concept alignment and retention

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 623c62e7-571c-4c5a-8576-ea8f26ee1736 · outbound

This paper cites Reltr: Relation transformer for scene graph generation.

Compile Scene Graphs with Reinforcement Learning Reltr: Relation transformer for scene graph generation

Reference 5

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation d98c6cb1-b73d-4f1e-a914-acd96dccad54 · outbound

This paper cites Gemini 2.0 flash.

Compile Scene Graphs with Reinforcement Learning Gemini 2.0 flash

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation d4241a21-ea25-4b3a-a672-3e5eb12a101b · outbound

This paper cites Conceptgraphs: Open-vocabulary 3d scene graphs for perception and planning.

Compile Scene Graphs with Reinforcement Learning Conceptgraphs: Open-vocabulary 3d scene graphs for perception and planning

Reference 7

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T12:06:54.281662Z digest=sha256:4f2083b499843e1cb671ce985e9689dcd8ffbfcdc5842c8e5c7543829b744ab5

Observation 9f01fbdf-bac4-45e8-938c-de4827d7550e · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Compile Scene Graphs with Reinforcement Learning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 8

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source=pdf_text observed=2026-08-16T12:06:54.286759Z digest=sha256:52158bc76d9fee2d43ac2d9e830d56b3531d302fa950ab40c816c655408ea16e

Observation 2b54f979-535c-4560-9005-f00aba6a5644 · outbound

This paper cites GPT-4o System Card.

Compile Scene Graphs with Reinforcement Learning GPT-4o System Card

Reference 9

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source=pdf_text observed=2026-08-16T12:06:54.291975Z digest=sha256:911d83ac02c23578c294e772e0003a5fdcc312f9cb7f1a88b877d1b71ccdf42f

Observation 68b1b682-ea02-411b-baa0-9ce49251bcd3 · outbound

This paper cites Image retrieval using scene graphs.

Compile Scene Graphs with Reinforcement Learning Image retrieval using scene graphs

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T12:06:54.297328Z digest=sha256:6774969aea6566ffd5205c0e86fcc5e68f94eebe4f9e24ef8f893d328e65f143

Observation c71d750a-fbc2-48fc-929e-7581a0449986 · outbound

This paper cites Iterative scene graph generation.

Compile Scene Graphs with Reinforcement Learning Iterative scene graph generation

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 2a831f43-b41c-45cc-8564-2f94c881b56f · outbound

This paper cites Llm4sgg: Large language model for weakly supervised scene graph generation.

Compile Scene Graphs with Reinforcement Learning Llm4sgg: Large language model for weakly supervised scene graph generation

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 3db48d69-c57b-413a-b2cc-3f6302973899 · outbound

This paper cites Gonzalez, Hao Zhang, and Ion Stoica.

Compile Scene Graphs with Reinforcement Learning Gonzalez, Hao Zhang, and Ion Stoica

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:06:54.312737Z digest=sha256:fe319f56c4554d8cf614327ea066b389fc87673891ae00b22750c0d5f94b2d65

Observation 7e083076-4048-4cc4-8522-16e2fb2af782 · outbound

This paper cites Scene graph generation from objects, phrases and region captions.

Compile Scene Graphs with Reinforcement Learning Scene graph generation from objects, phrases and region captions

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T12:06:54.317736Z digest=sha256:f73f725559039caa6be64b0d376edf48e03904e028929f6f52951e317b9fc7bd

Observation 712cf8be-b978-4c04-9a77-016ad154f5a0 · outbound

This paper cites Sgtr: End-to-end scene graph generation with transformer.

Compile Scene Graphs with Reinforcement Learning Sgtr: End-to-end scene graph generation with transformer

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T12:06:54.322395Z digest=sha256:bdb7f5b7cc86b3f1ba199fd50c148cf7a5a0eefbe4535c3f2b734ea5cd7ea492

Observation fe530ec5-536f-4d3d-8fb3-070d1c4bdbb0 · outbound

This paper cites Integrating object-aware and interaction-aware knowledge for weakly supervised scene graph generation.

Compile Scene Graphs with Reinforcement Learning Integrating object-aware and interaction-aware knowledge for weakly supervised scene graph generation

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation b45123d8-f7f8-4195-b61d-31610a3d77a0 · outbound

This paper cites From pixels to graphs: Open-vocabulary scene graph generation with vision-language models.

Compile Scene Graphs with Reinforcement Learning From pixels to graphs: Open-vocabulary scene graph generation with vision-language models

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation fcc2270c-d781-4b6f-9a37-fbd2ee761c27 · outbound

This paper cites Microsoft coco: Common objects in context.

Compile Scene Graphs with Reinforcement Learning Microsoft coco: Common objects in context

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T12:06:54.338533Z digest=sha256:8bb8ae4e426d641fbc0369a99465b2285a6c5ecd2cdbbd0f6b4192ea07f77fd1

Observation 2ef22427-f4e6-4e76-9c28-2e499ab97ff2 · outbound

This paper cites Gps-net: Graph property sensing network for scene graph generation.

Compile Scene Graphs with Reinforcement Learning Gps-net: Graph property sensing network for scene graph generation

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation cf4faf6d-f225-401e-b582-f6182def377e · outbound

This paper cites Sgt: Scene graph-guided transformer for surgical report generation.

Compile Scene Graphs with Reinforcement Learning Sgt: Scene graph-guided transformer for surgical report generation

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T12:06:54.347835Z digest=sha256:773e5773b0db989f604f84fe0a253b4e40ae24de5d9b20c4f869876063f659f1

Observation a26210b6-f825-4602-9dc8-41a1d5f31261 · outbound

This paper cites Improved baselines with visual instruction tuning, 2023.

Compile Scene Graphs with Reinforcement Learning Improved baselines with visual instruction tuning, 2023

Reference 21

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source=pdf_text observed=2026-08-16T12:06:54.352803Z digest=sha256:3dcfdd8ba9c4a60c53593cd99fc35577a6b151fe020f669847c70028e3c85df3

Observation b0fbf4af-189a-415f-9c25-5db2d020ba82 · outbound

This paper cites Decoupled weight decay regularization.

Compile Scene Graphs with Reinforcement Learning Decoupled weight decay regularization

Reference 22

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source=pdf_text observed=2026-08-16T12:06:54.359019Z digest=sha256:dd978bf335cc04a76f1c8ed4e06a3e7d99fe11e032896c458b99a7a72bb808b8

Observation 4fe7d61f-f843-4870-a0bf-cf853c277d61 · outbound

This paper cites SceneGraphLoc: Cross-Modal Coarse Visual Localization on 3D Scene Graphs.

Compile Scene Graphs with Reinforcement Learning SceneGraphLoc: Cross-Modal Coarse Visual Localization on 3D Scene Graphs

Reference 23

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation f4f1f291-9f39-4ed0-a18b-72abb880d379 · outbound

This paper cites 4d-or: Semantic scene graphs for or domain modeling.

Compile Scene Graphs with Reinforcement Learning 4d-or: Semantic scene graphs for or domain modeling

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T12:06:54.370461Z digest=sha256:06c186845cedfb49daa5fed5216c9195874aa6a4d721c2fd53158a0b20f375d9

Observation 00ae8dd9-21d4-482d-ad92-1db6edddc0cb · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Compile Scene Graphs with Reinforcement Learning Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 25

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Observation 6717acf5-a678-4f39-8ebc-a0259dc3eb37 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.

Compile Scene Graphs with Reinforcement Learning Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 26

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source=pdf_text observed=2026-08-16T12:06:54.382136Z digest=sha256:1314dd29b90d9253017b51347df847f37d4213350c13aee95856141ab940f96c

Observation 1ea6a7b8-e8d4-4ae1-9c07-39a7f4763025 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Compile Scene Graphs with Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 27

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source=pdf_text observed=2026-08-16T12:06:54.387126Z digest=sha256:93ec14c37f9c4de7aa15950f610c83ce0d51a28580dcebdfedc1692ddda48abf

Observation 3676e499-12fd-4cdb-9724-6169977eac74 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Compile Scene Graphs with Reinforcement Learning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 28

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Unavailable: canonical work link unavailable.

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Observation f2cbab7a-d821-464e-8722-b3f7a221fa0c · outbound

This paper cites Learning to compose dynamic tree structures for visual contexts.

Compile Scene Graphs with Reinforcement Learning Learning to compose dynamic tree structures for visual contexts

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T12:06:54.397793Z digest=sha256:56ddaa068e8024e376225de5b1171a446a4ff723b586ea77df9e009f4b648826

Observation fba7a453-6586-43e2-89b8-bf7eb29d9a64 · outbound

This paper cites Unbiased scene graph generation from biased training.

Compile Scene Graphs with Reinforcement Learning Unbiased scene graph generation from biased training

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation f558d36a-8df1-47ae-889d-f9e688e18a78 · outbound

This paper cites Trl: Transformer reinforcement learning.

Compile Scene Graphs with Reinforcement Learning Trl: Transformer reinforcement learning

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:06:54.407361Z digest=sha256:963dbc4a5ed46c01497648c0358c16952c1982d77bd5c299b881fd7513f54297

Observation 50ea3016-a5c9-40b5-961a-39afa7a40024 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Compile Scene Graphs with Reinforcement Learning Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:06:54.412346Z digest=sha256:b422978846e19b6ca282e0c55e7e98eb312d87ea2d451259ffd052ec433774df

Observation b576ad50-9c1a-4710-b065-d0dc0a07d1e8 · outbound

This paper cites The all-seeing project v2: Towards general relation comprehension of the open world.

Compile Scene Graphs with Reinforcement Learning The all-seeing project v2: Towards general relation comprehension of the open world

Reference 33

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raw_fallback, observed 2026-08-16T12:06:54.835018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T12:06:54.417326Z digest=sha256:b5e5a9c1ceea164f0843db2669975f723b1f00c36823840de7a9402a126f4694

Observation 74db58a9-18f3-48a5-a91e-03c1938d2d9f · outbound

This paper cites Choy, and Li Fei-Fei.

Compile Scene Graphs with Reinforcement Learning Choy, and Li Fei-Fei

Reference 34

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raw_fallback, observed 2026-08-16T12:06:54.817049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T12:06:54.421811Z digest=sha256:14fb27eaff8d03d071f2b8b854fd2a4840bb2f7e5d574b9eb34563c18fd5c2a5

Observation f9f60521-a3c2-41e8-8265-78e79b641646 · outbound

This paper cites Llava-spacesgg: Visual instruct tuning for open-vocabulary scene graph generation with enhanced spatial relations.

Compile Scene Graphs with Reinforcement Learning Llava-spacesgg: Visual instruct tuning for open-vocabulary scene graph generation with enhanced spatial relations

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T12:06:54.426363Z digest=sha256:196a76d2a0e69dee599bd69c5211af6ce769015462ed5d2da1024233b2906683

Observation 429e974d-9685-414c-a510-667f53982bf2 · outbound

This paper cites Panoptic scene graph generation.

Compile Scene Graphs with Reinforcement Learning Panoptic scene graph generation

Reference 36

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raw_fallback, observed 2026-08-16T12:06:54.781353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T12:06:54.431154Z digest=sha256:c6f08b49c8c5c2b130b1ef4f84b6042f2f29e9d19ce3637cd78d3f3c1f476d41

Observation 7905de34-ad1f-470a-a682-6812ff5bd4e7 · outbound

This paper cites Sg-nav: Online 3d scene graph prompting for llm-based zero-shot object navigation.

Compile Scene Graphs with Reinforcement Learning Sg-nav: Online 3d scene graph prompting for llm-based zero-shot object navigation

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:06:54.763532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T12:06:54.436658Z digest=sha256:892489ed43001d15916f7db2786fb3a7e36f79657095ca9b95bbbd30e32088fe

Observation c31f4d62-c0d8-405b-931d-80132ed5490b · outbound

This paper cites Neural motifs: Scene graph parsing with global context.

Compile Scene Graphs with Reinforcement Learning Neural motifs: Scene graph parsing with global context

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:06:54.744448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T12:06:54.441351Z digest=sha256:cf420a55e1e3de3f7ed0fc1bfc4400789e59c0e4cdeb28a42d344ba559adcd4d

Observation e3a8d48b-5f7c-43f6-a40f-b1095721425e · outbound

This paper cites Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?.

Compile Scene Graphs with Reinforcement Learning Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-16T12:06:54.446130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:06:54.446130Z digest=sha256:1c89f22aa63890a9a5fce1e93c59f49711d004a960a2e81d67a700c8d310b7fb

Observation 4e1a9954-d6a0-4403-85d4-648c62ca6111 · outbound

This paper cites Learning to generate language-supervised and open-vocabulary scene graph using pre-trained visual-semantic space.

Compile Scene Graphs with Reinforcement Learning Learning to generate language-supervised and open-vocabulary scene graph using pre-trained visual-semantic space

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:06:54.725358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T12:06:54.450930Z digest=sha256:87b1b935bafba4c219d3cd230bee6f58ddec1fe39859af27ac276af4d6a8f761

Observation b3afcd34-5306-402e-894a-491329fc5254 · outbound

This paper cites Open-vocabulary functional 3d scene graphs for real-world indoor spaces.

Compile Scene Graphs with Reinforcement Learning Open-vocabulary functional 3d scene graphs for real-world indoor spaces

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:06:54.706249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T12:06:54.456625Z digest=sha256:aa260f111769a203ae01d8037d7889ce5dbf3ad9eeffb049d3eaa7efebdbb5e0

Observation c07e40d0-9dff-42b1-b81b-02efc9524092 · outbound

This paper cites Textpsg: Panoptic scene graph generation from textual descriptions.

Compile Scene Graphs with Reinforcement Learning Textpsg: Panoptic scene graph generation from textual descriptions

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:06:54.690101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T12:06:54.461480Z digest=sha256:2edad6b25e8e20e7b5c20207958f5729912ba20a5ed51a7a3eea85abf8d7043f

Observation 49d0cc51-d0df-4593-b31d-fa92af93f6f9 · outbound

This paper cites Learning to generate scene graph from natural language supervision.

Compile Scene Graphs with Reinforcement Learning Learning to generate scene graph from natural language supervision

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:06:54.674097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T12:06:54.466876Z digest=sha256:78a4516187fafdb38159bdbbcfdafc95c9aba391cdf181836717c9d52417a9ec

Observation b0903700-da67-4884-bd10-ed1cd9192372 · outbound

This paper cites role": "system.

Compile Scene Graphs with Reinforcement Learning role": "system

Reference 44

Resolution
malformed identifier
raw_fallback, observed 2026-08-16T12:06:54.657426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T12:06:54.471687Z digest=sha256:1272d7537a00d34036f25bd6749800b4035bada6845551dace28ffb4166fb9c4

Pith citing papers

Observation 4ff2c8e7-fddf-423a-99a6-8eb2c01bbbd3 · inbound

Reinforced MLLM: A Survey on RL-Based Reasoning in Multimodal Large Language Models cites this paper.

Reinforced MLLM: A Survey on RL-Based Reasoning in Multimodal Large Language Models Compile Scene Graphs with Reinforcement Learning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-16T05:12:18.141347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:12:18.141347Z digest=sha256:0df8190ad05c99c2b0caa2ec18a9503c9cf9df1563e05025fb038da6256d0a8c

Observation dcfc2b59-51ec-41ed-b2ca-a510e7d13a85 · inbound

Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models cites this paper.

Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models Compile Scene Graphs with Reinforcement Learning

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-07T14:31:16.244853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:31:16.244853Z digest=sha256:81073f18dd739023b6642c76725d5c28029268ce65cc7157fd0f4691241abbf6

Observation aa3c6233-1240-410d-b735-770dffa707f5 · inbound

WeThink: Toward General-purpose Vision-Language Reasoning via Reinforcement Learning cites this paper.

WeThink: Toward General-purpose Vision-Language Reasoning via Reinforcement Learning Compile Scene Graphs with Reinforcement Learning

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T05:27:05.106433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:27:05.106433Z digest=sha256:2cff98678223d4b9ac80c5c3d270c96566a921516401d23c59a7bc61307f97fe

Observation d77b65c8-098f-4c77-90f0-53a9c4dbb24a · inbound

3D-R1: Enhancing Reasoning in 3D VLMs for Unified Scene Understanding cites this paper.

3D-R1: Enhancing Reasoning in 3D VLMs for Unified Scene Understanding Compile Scene Graphs with Reinforcement Learning

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T10:49:46.852987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:49:46.852987Z digest=sha256:850df6bc185bb7d1a74473b348ffb51b30a6d7a790bf0cc306a726d9838dca94

Observation 204d6904-3f0c-4a47-b150-6d88ee4dda7f · inbound

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle cites this paper.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Compile Scene Graphs with Reinforcement Learning

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-04T16:07:28.527593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:07:28.527593Z digest=sha256:0ffc7b221cc89a7ceb551853096eab8341a68abe546253a3877bbaf348112987

Observation 5e1f95ee-15d3-4f39-ab9a-a06880eb7999 · inbound

SpatialThinker: Reinforcing Scene Graph-Grounded Spatial Reasoning via Dense Rewards cites this paper.

SpatialThinker: Reinforcing Scene Graph-Grounded Spatial Reasoning via Dense Rewards Compile Scene Graphs with Reinforcement Learning

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-03T23:08:49.130584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:08:49.130584Z digest=sha256:c8ff20ced3b0c8ed1aec6f4ac41254f25b3986eadbfc306dee07ca783c68d577

Observation 4a85d152-fe43-48fa-ab4b-ade445dc0f52 · inbound

SenBen: Sensitive Scene Graphs for Explainable Content Moderation cites this paper.

SenBen: Sensitive Scene Graphs for Explainable Content Moderation Compile Scene Graphs with Reinforcement Learning

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:01:01.823622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T16:51:01.201885Z digest=sha256:fd99628090acb39ac129e05648338ce92604343732edc2d1f0dc03ffe63f50f7

Observation 3d27042d-c771-4e3e-841d-ca07e0e60bb1 · inbound

SenBen: Sensitive Scene Graphs for Explainable Content Moderation cites this paper.

SenBen: Sensitive Scene Graphs for Explainable Content Moderation Compile Scene Graphs with Reinforcement Learning

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-12T23:42:32.347933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T23:42:32.347933Z digest=sha256:9bd489bb17b9687d1cf21e8403eb7a107e37d425678c11a747a99aeadb198af1

Observation 4d6ec6b9-ea07-4623-b0e2-32f5633290a9 · inbound

SceneGraphVLM: Dynamic Scene Graph Generation from Video with Vision-Language Models cites this paper.

SceneGraphVLM: Dynamic Scene Graph Generation from Video with Vision-Language Models Compile Scene Graphs with Reinforcement Learning

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:42:58.271106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-14T20:39:56.448121Z digest=sha256:911880d06df24cb1ef191b68288d9bdeddd55f2bac41325615b7f4ccfd038662

Observation c9f1ed04-3efb-4c0d-a9c8-210155f569b5 · inbound

OracleAnalyser: Analysing Implicit Semantics of Oracle Bone Scripts through MLLMs with Post-training cites this paper.

OracleAnalyser: Analysing Implicit Semantics of Oracle Bone Scripts through MLLMs with Post-training Compile Scene Graphs with Reinforcement Learning

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-07-04T20:10:08.030470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-25T20:36:16.927195Z digest=sha256:2722164d2cb519ca49695a880ae2606ab081d984b6484cfc07ea1862a48d3cb0