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Paper Citation Record · LEDGER

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study

As of 22 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 3 inbound Pith citation observations for arXiv:2505.19510.

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

pith.paper-citation-record.v1
2505.19510 v2

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:17:31.115845Z

measured 49 of 49 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:41:37.679895Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T21:24:48.148942Z

Reference resolution

46 of 46 outbound references displayed

  • verified exact0
  • verified fuzzy25
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 44630375-63c7-4252-add9-571c25d1ac4d · outbound

This paper cites - Each graph is composed of a set of triplets ‘[node1, edge, node2]‘.

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study - Each graph is composed of a set of triplets ‘[node1, edge, node2]‘

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:17:39.379783Z

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=2026-08-07T14:17:18.030358Z digest=sha256:63f69222e6ed8360d5ed32df8f00473634e0a7e53b26aa44dd9c472db75a091b

Observation 54cedf94-88bc-4f2f-b390-b07ae2d51add · outbound

This paper cites - Do not output any additional text or explanation.

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study - Do not output any additional text or explanation

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:17:39.018804Z

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=2026-08-07T14:17:18.224283Z digest=sha256:09ed3938cde227ea77ece4b8a0168cd76ebbbd378ba0c9a91f217fd3ca27f6f4

Observation 623fc51b-86f0-42fa-ac23-701044a65868 · outbound

This paper cites Available edges.

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study Available edges

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:17:35.789959Z

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=2026-08-07T14:17:19.915333Z digest=sha256:2de9ba3fe845578e3930bffaaaf4facfd0dc50e77b0ba60961c3457be64a63f9

Observation a89fee5a-5586-4e40-a9d6-c687fa8c3fd4 · outbound

This paper cites (e.g., person -> verb -> add).

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study (e.g., person -> verb -> add)

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:17:35.643965Z

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=2026-08-07T14:17:19.995159Z digest=sha256:7c09dda380bb9b77398dda745676ed502231a02eddb08849dd1cd0c2fcdf19aa

Observation 3fa30093-ddef-4603-88ac-a4d0d2c10f18 · outbound

This paper cites an unresolved cited work.

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:17:35.507917Z

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=2026-08-07T14:17:20.097691Z digest=sha256:bc94fe596bf3fbe9d39ebeab5b30a4701e326563f0b8ca0906572815c3b692d4

Observation 548540da-3a69-47b0-aba1-864d060e66cd · outbound

This paper cites Available nodes.

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study Available nodes

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:17:35.349307Z

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=2026-08-07T14:17:20.195673Z digest=sha256:f892dc152ada84548aed32fc5d5d36b186c39f08df11a9cfe08f4a04147c1ca9

Observation 887ec029-8be6-43f5-9656-06b75d0f4fbc · outbound

This paper cites an unresolved cited work.

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:17:34.675421Z

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=2026-08-07T14:17:20.590785Z digest=sha256:95dae09a6da6d24cd9f5a56180802b2e117f8391000614998854f9508ae1a352

Observation 2f96e3ca-d13a-4a5f-beac-e3366dbd4936 · outbound

This paper cites Available Nodes.

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study Available Nodes

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:17:34.499745Z

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=2026-08-07T14:17:20.703243Z digest=sha256:bc26fde9dd557fcee8e4039667454e35726778c569be2c14593322639384069e

Observation c2165863-8d4d-4e39-b4ab-49e6f6cf3d66 · outbound

This paper cites Available Nodes.

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study Available Nodes

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:17:33.478427Z

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=2026-08-07T14:17:22.388917Z digest=sha256:6704aa34d2f801a7cf595194564ec60502bc0097533845f4eaf7bd352e5e14fa

Observation f0fb8b79-c3de-48e8-b77a-0f1bebaa9f18 · outbound

This paper cites an unresolved cited work.

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:17:33.131127Z

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=2026-08-07T14:17:22.540548Z digest=sha256:f47e5e22cf85b609a512ab9c3ef04317066ba8fcfe796130a0db7023040f5c1d

Observation ef498d78-723e-440e-a185-20963e8442c3 · outbound

This paper cites Think:" - Then, output your final answer under.

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study Think:" - Then, output your final answer under

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:17:32.920332Z

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=2026-08-07T14:17:22.597354Z digest=sha256:d23f94ab7757800dfe489a6a02405cfa9e05442c0f9350d3f207416e99200e93

Observation c3578406-ad5d-4354-931b-b9d1b21cce53 · outbound

This paper cites an unresolved cited work.

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:17:38.115239Z

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=2026-08-07T14:17:22.898118Z digest=sha256:1f058658fb10d0d6fc8b760da858a558fcf34bd9be37befee038f0c0b4dbb067

Observation 86561693-715a-46c2-af90-073306cb01f1 · outbound

This paper cites Consider the context to identify the node.

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study Consider the context to identify the node

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:17:37.568021Z

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=2026-08-07T14:17:23.122994Z digest=sha256:e9c811c26d7d78100125fd792c4cc0b2e23887368c5ae5eeec0eea8c6a7898e8

Observation 5bbe6f00-1e66-4d4c-bb86-a4628bd8de79 · outbound

This paper cites Available nodes.

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study Available nodes

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:17:32.723200Z

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=2026-08-07T14:17:24.132089Z digest=sha256:5df4a0df4268a47490dd07bdd3eead26d4b5eb720f8e804aafe774d055569bc6

Observation 2a20682f-61b9-4e23-9c4b-7ec155243d61 · outbound

This paper cites Available Nodes.

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study Available Nodes

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:17:32.146351Z

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=2026-08-07T14:17:26.307332Z digest=sha256:107d90334ef74c8959739838f44724722323f627661e883df00a7d0a335102b5

Observation f6a9284d-c7ca-4722-8152-3e88ccdd5201 · outbound

This paper cites person",.

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study person",

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:17:31.921553Z

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=2026-08-07T14:17:26.607779Z digest=sha256:d4d8aa36ffbfb4bfa8d1b02a62e707cdad52dfb0dc808ecdeece4f1ec69c053c

Observation a780f625-bade-4067-9294-f53bdb47be38 · outbound

This paper cites - Each graph is composed of a set of triplets [node1, edge, node2].

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study - Each graph is composed of a set of triplets [node1, edge, node2]

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:17:33.299251Z

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=2026-08-07T14:17:26.749571Z digest=sha256:8fc8578c3d55e099faef210f94e34226cc35a4af379220b2e0436e21974fb91c

Observation 1ff1fbf9-918a-4b4b-8a66-82d7adf0d1a1 · outbound

This paper cites an unresolved cited work.

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study Unresolved cited work

Reference 101

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:17:39.206529Z

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=2026-08-07T14:17:26.920796Z digest=sha256:25e86c7d23d8f2c4a59bd35ce493905f6becb75c58c142a339df8ebe3e6e0ffa

Observation 2683f5ee-0dd0-467b-966a-cf56ef480de7 · outbound

This paper cites - Do not output any additional text or explanation.

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study - Do not output any additional text or explanation

Reference 102

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:17:31.663060Z

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=2026-08-07T14:17:27.094102Z digest=sha256:9430b3316261a4620937a2ed3c37270fd4b2960f437ace612a46570028b45323

Observation df0cafbd-95f7-4292-9862-08d627ce8591 · outbound

This paper cites an unresolved cited work.

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study Unresolved cited work

Reference 103

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:17:35.191696Z

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=2026-08-07T14:17:27.255389Z digest=sha256:98cd0e7ebad1fee697ae978aa08004515bd9ea004c9de4b3142274cf45c57176

Observation b8ea44e4-2adc-4b7c-a3ef-09b35774b13b · outbound

This paper cites an unresolved cited work.

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study Unresolved cited work

Reference 104

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:17:35.008365Z

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=2026-08-07T14:17:27.404957Z digest=sha256:0f0390859e64bcf49b35f052eb34d634fdbee0a334d1ef5bd871f09763a7cca8

Observation bccd810b-9faa-4a09-b4ee-42115771cea2 · outbound

This paper cites an unresolved cited work.

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study Unresolved cited work

Reference 105

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:17:34.852158Z

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=2026-08-07T14:17:27.559120Z digest=sha256:610ec4a5c664a4c069220a7d9801a411e4669d2afd1e719f38d454320066f78a

Observation 9e10fa06-2207-4734-88e1-6d67d732a6c3 · outbound

This paper cites an unresolved cited work.

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study Unresolved cited work

Reference 106

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:17:32.593288Z

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=2026-08-07T14:17:27.732158Z digest=sha256:455246a6a46ec437327971f5c2d8841e17f7739e07b65085bd6fb602f5921cfe

Observation aa903470-ba33-4845-9f49-28927df00fe0 · outbound

This paper cites Available Nodes.

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study Available Nodes

Reference 107

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:17:32.430710Z

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=2026-08-07T14:17:27.848866Z digest=sha256:c6365d03014b132c82696614d45d6d533e917f163f0022f70d1f67f9c5348dc8

Observation a4a000c5-e2aa-4a36-8c70-51d2ff132b0b · outbound

This paper cites Rules for A Scene Graph Representation:.

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study Rules for A Scene Graph Representation:

Reference 108

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:17:34.336184Z

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=2026-08-07T14:17:27.984910Z digest=sha256:4b54e1ac4e401464220faf06aa5f5f40faf86621f384281206e197ed43e4a6c4

Observation af56a5b2-aa54-49f6-9e29-3297de7fe53a · outbound

This paper cites an unresolved cited work.

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study Unresolved cited work

Reference 109

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:17:38.829893Z

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=2026-08-07T14:17:28.165401Z digest=sha256:4b36d829f88fca9f1625560b3f41d691f69b0d7aace953eb88b0f9786c1ca0af

Observation 63403705-858a-43da-aa46-b83e6a8dce93 · outbound

This paper cites (Format: node -> edge -> node).

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study (Format: node -> edge -> node)

Reference 110

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:17:38.587808Z

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=2026-08-07T14:17:28.367036Z digest=sha256:ad1500cff4cc8719d0c187445822fbc6996448e84ca69cd5248b38ebe9c9c0eb

Observation 6c1492bf-fd9c-4fcc-91d6-b61c2a878195 · outbound

This paper cites an unresolved cited work.

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study Unresolved cited work

Reference 111

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:17:38.350781Z

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=2026-08-07T14:17:28.502022Z digest=sha256:36e06a40f26bfab6eddb02a4c00aee9ea0865b750cb252514ee1cd2e1d16d8ee

Observation 29d14955-c04d-4dbd-9d11-4f6aa14c28a2 · outbound

This paper cites an unresolved cited work.

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study Unresolved cited work

Reference 112

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:17:34.173535Z

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=2026-08-07T14:17:28.656785Z digest=sha256:0f6c773c2b8a67c9a45ff7ce1d91586855f9ad35845fa02af361e0ee07e52656

Observation 6cffcccb-7d94-425a-aa52-fd35668dd4c6 · outbound

This paper cites Available nodes.

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study Available nodes

Reference 113

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:17:37.892977Z

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=2026-08-07T14:17:28.815332Z digest=sha256:1d3066a7598a1e404aae7da0a253d54c99ef843c7fb57adf8e76bf656c066280

Observation a6f801c3-ce40-4d97-b46b-235094ea4798 · outbound

This paper cites an unresolved cited work.

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study Unresolved cited work

Reference 114

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:17:37.739195Z

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=2026-08-07T14:17:28.941679Z digest=sha256:441298bdd700843bcd21a8ff2473ba66be5049034c1fa9f861f5c64c2f315fb7

Observation d44505d0-9552-46fa-893e-37a37314c5e1 · outbound

This paper cites Available nodes.

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study Available nodes

Reference 115

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:17:33.981000Z

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=2026-08-07T14:17:29.059778Z digest=sha256:81f3698a4d3855f6892547a4caea05ca85f0d3ee7242872b42007d4b858f4eea

Observation af28c7f3-23ae-4356-8b53-b1b07ebafad6 · outbound

This paper cites Available nodes.

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study Available nodes

Reference 116

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:17:37.321519Z

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=2026-08-07T14:17:29.179749Z digest=sha256:9135685e68c3e2eee667245437134341eef32e35aca6f92091f0330c49cf1bb8

Observation 6a40555a-ebdc-4fc2-b4ff-6b129ec19a94 · outbound

This paper cites an unresolved cited work.

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study Unresolved cited work

Reference 117

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:17:37.119740Z

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=2026-08-07T14:17:29.354958Z digest=sha256:db9ccb8eb83eb6f85b695f6384a46dd39c79e28b6d7e9a21da49f31a3c6fb3e1

Observation 6ab0f920-d5e1-4147-a42d-88028da180d2 · outbound

This paper cites an unresolved cited work.

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study Unresolved cited work

Reference 118

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:17:33.788899Z

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=2026-08-07T14:17:29.536542Z digest=sha256:1e06a5047456eb57d4cedd3935c6634e7e3296fe9d516bd1f08ae1b14f7f0ae3

Observation 2ee8836d-7413-425f-b5b0-d2e0bf0bade5 · outbound

This paper cites Special Rules for Hand Node:.

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study Special Rules for Hand Node:

Reference 119

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:17:36.952468Z

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=2026-08-07T14:17:29.716292Z digest=sha256:caead30a70d64e047d82254bf46e11f715e33324385b9826a8e80c26ec173867

Observation 7d33a2c5-4d6b-4baf-b9bc-d3af23fc913b · outbound

This paper cites an unresolved cited work.

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study Unresolved cited work

Reference 120

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:17:36.768278Z

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=2026-08-07T14:17:29.882946Z digest=sha256:05ddcba40c3a2def0d36705c5283e72518345483d83017f66e8e138b17438698

Observation 5d58025c-4a29-4f98-bf4c-2b3890471e08 · outbound

This paper cites an unresolved cited work.

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study Unresolved cited work

Reference 121

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:17:36.630126Z

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=2026-08-07T14:17:30.058444Z digest=sha256:ea913d1c91a5d8bfcb53a3eac16e9bbd155ba23b60b474dd5c50a16ef5b49ac5

Observation 32c62cf1-d248-422f-8b1b-1265855203ed · outbound

This paper cites an unresolved cited work.

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study Unresolved cited work

Reference 122

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:17:36.492386Z

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=2026-08-07T14:17:30.194970Z digest=sha256:8b658676a0759e034b12341082f7f974fd843772eab6c03a43ac9d6bc76e6519

Observation 0d97d309-b739-41e5-9111-92e9beccc538 · outbound

This paper cites hand1" and.

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study hand1" and

Reference 123

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:17:36.286265Z

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=2026-08-07T14:17:30.361635Z digest=sha256:da21314d95145661b2a11da87491ae293806a80b7fd36b91be2e967b84f86a26

Observation a06688d1-0975-4de8-a45f-92e9d0196cca · outbound

This paper cites Rules for Edge:.

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study Rules for Edge:

Reference 124

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:17:36.143146Z

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=2026-08-07T14:17:30.519181Z digest=sha256:09cd36b4438e5e304063d42d4600cb3a0065015303147a24115bb00ea46cc05d

Observation 369e9891-6f9e-43cf-a845-f6c6ddb73746 · outbound

This paper cites an unresolved cited work.

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study Unresolved cited work

Reference 125

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:17:35.998807Z

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=2026-08-07T14:17:30.690971Z digest=sha256:e512ebd5a9f78ebafedfd5c34cce81efc596859ddc6bb3428772cc59142a225e

Observation 4c111f1d-9686-491f-bb8c-7c7b21e3b010 · outbound

This paper cites Available edges.

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study Available edges

Reference 126

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:17:33.640377Z

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=2026-08-07T14:17:30.920555Z digest=sha256:acd22595aa39902098f3ff489d31d212510f4d85a068aeeb334913b1ac95fe11

Observation 96c71643-5d7b-4d0d-9f44-c5c09e951bc5 · outbound

This paper cites Available Nodes.

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study Available Nodes

Reference 127

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:17:31.498066Z

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=2026-08-07T14:17:31.115845Z digest=sha256:d3150aa2dcc620ec5baa840ccfa94f195266c7fe8e7ca54bb655c4314a53b449

Observation 8dea8426-ae58-4e97-84b1-96d10e454a5b · outbound

This paper cites Scene Graph Reasoning for Visual Question Answering.

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study Scene Graph Reasoning for Visual Question Answering

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:17.950239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:17.950239Z digest=sha256:3f839f1ecb45059cf28ca2e5acb9abe56d5446985467f794b2bc8dfac7ab9ead

Observation f5669449-0e7d-4938-9fc2-3705db1041d0 · outbound

This paper cites Graph Constrained Reinforcement Learning for Natural Language Action Spaces.

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study Graph Constrained Reinforcement Learning for Natural Language Action Spaces

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:17.891403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:17.891403Z digest=sha256:ca47e2dbae3f4c490ee03cadf1b836e59d5552c753fa9efa1ace5727bcc5d3fc

Pith citing papers

Observation 00ae6c5a-c915-403e-962b-01c87c75c5fd · inbound

Pluri-perspectivism in Human-robot Co-creativity with Older Adults cites this paper.

Pluri-perspectivism in Human-robot Co-creativity with Older Adults LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-06T18:41:37.679895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:41:37.679895Z digest=sha256:542593b847ca5d2e16dad5e09b1c60a08f5ab31e66566d808538779a40746a52

Observation ffa0394b-8c01-4f08-a0a3-eb161e92721c · inbound

Designing Memory-Augmented AR Agents for Spatiotemporal Reasoning in Personalized Task Assistance cites this paper.

Designing Memory-Augmented AR Agents for Spatiotemporal Reasoning in Personalized Task Assistance LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-08-05T21:24:48.259497Z

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=2026-08-05T21:24:47.379310Z digest=sha256:e404998fbe503e7ebfddb0f14ef8fae37d26b9f369cbbb8629d2bf837f7a79c3

Observation 2a30ca8b-89b9-4f7e-a03c-362b9dcbca8a · inbound

KG-ViP: Bridging Knowledge Grounding and Visual Perception in Multi-modal LLMs for Visual Question Answering cites this paper.

KG-ViP: Bridging Knowledge Grounding and Visual Perception in Multi-modal LLMs for Visual Question Answering LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-03T10:44:10.620943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T10:44:10.620943Z digest=sha256:6c549ed737e69f4875360dc9c56e3d23fdd69528d3f4a390828298cb863fc929