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Paper Citation Record · LEDGER

STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2503.23765.

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

pith.paper-citation-record.v1
2503.23765 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:48:03.400031Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T12:15:01.137692Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e89c9018-c955-431b-b14c-e23c264773f3 · inbound

SpaceR: Reinforcing MLLMs in Video Spatial Reasoning cites this paper.

SpaceR: Reinforcing MLLMs in Video Spatial Reasoning STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-15T15:18:43.867380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T15:18:43.724432Z digest=sha256:857b50dcd02f014cd8fc70aa75a634d538ef15c243e3fe6646be2cb8536e093d

Observation 09605819-077f-4d67-9920-7b2a6992d53d · inbound

Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence cites this paper.

Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-16T08:34:36.938612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T08:34:36.824053Z digest=sha256:e13cf2596cffac3b7a1cd01ee4b18734a3cd434bf63eaceced79507eff53a484

Observation bb8d9f1c-d264-4eb8-8157-e750ada9dbc4 · inbound

Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence cites this paper.

Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-22T01:00:51.280287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T00:59:13.826054Z digest=sha256:091968e73fab7451ac4e5d9144cedcee774b3c9a21ef4860235ecefe34945506

Observation 2d21fb99-1494-4ff9-9b69-2d621a7edce3 · inbound

The high-speed X-ray camera on AXIS: design and performance updates cites this paper.

The high-speed X-ray camera on AXIS: design and performance updates STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-05T18:48:03.400031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:48:03.400031Z digest=sha256:6804ddffc4cfe67c9d0366984f456438082aabacadd379734d51c0931a1a586b

Observation 2bd7c452-e556-4171-8c3d-a06dcd6c19c2 · inbound

SpatialBench: Benchmarking Multimodal Large Language Models for Spatial Cognition cites this paper.

SpatialBench: Benchmarking Multimodal Large Language Models for Spatial Cognition STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-17T04:59:04.296499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T04:54:59.903644Z digest=sha256:70cd2bd1a9bda286365b194434dbc4f5dc922ac91673ff98b21798c9f9cc43b7

Observation 0db04dbc-4cc4-4ee5-8d21-1e2a28e23039 · inbound

SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving cites this paper.

SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-22T12:21:31.382952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T12:17:54.325055Z digest=sha256:5f5293b8de0a3802e3906be60c2797216149a970fbb8bd562b20d4c5c1c656c1

Observation c1482195-fb45-4349-9de8-55d321ef351d · inbound

SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving cites this paper.

SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-03T17:07:43.319564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:07:43.319564Z digest=sha256:424c3c48845b9262ffb547e417d232ba828246139269e2097e7f0f10a8cde1cb

Observation c4d1d119-d33f-4bd3-a308-897e33bc2a2c · inbound

$M^3-Verse$: A "Spot the Difference" Challenge for Large Multimodal Models cites this paper.

$M^3-Verse$: A "Spot the Difference" Challenge for Large Multimodal Models STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-03T14:57:29.129862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:57:29.129862Z digest=sha256:d509f8e45622abaccff53fe71e26a5c0e0dcab4399a1a3a73402cae5ebf846b3

Observation 3bfd95b4-fbf8-4e1b-b685-8985553b8e4f · inbound

SCP: Spatial Causal Prediction in Video cites this paper.

SCP: Spatial Causal Prediction in Video STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-15T16:50:11.225647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T16:47:44.523606Z digest=sha256:9a73f9753a72f678df2d41aa3b71605d69e6fca42f4bd70cc32226fd2aa5d35d

Observation d8f2f974-741a-475e-bb0e-f760f5eb2ab1 · inbound

SpatialStack: Layered Geometry-Language Fusion for 3D VLM Spatial Reasoning cites this paper.

SpatialStack: Layered Geometry-Language Fusion for 3D VLM Spatial Reasoning STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:08:04.700971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T22:04:18.591594Z digest=sha256:027fea2a24b1722f98fb6ae0e8095da4cfa7e2f7edaf038f5a858302620a166c

Observation c84b84c9-beb7-4d1e-927c-fb0bc8bf13ba · inbound

LAST: Leveraging Tools as Hints to Enhance Spatial Reasoning for Multimodal Large Language Models cites this paper.

LAST: Leveraging Tools as Hints to Enhance Spatial Reasoning for Multimodal Large Language Models STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:00:47.753493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T19:26:23.660206Z digest=sha256:05b755c7a501b465ad6b304c8b07755325d1c5474c0f6fe5aa3a07d453c2d527

Observation 2ae6e612-d86f-48cd-af6d-69d084997e39 · inbound

ViSRA: A Video-based Spatial Reasoning Agent for Multi-modal Large Language Models cites this paper.

ViSRA: A Video-based Spatial Reasoning Agent for Multi-modal Large Language Models STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:46:35.632369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T04:00:23.681682Z digest=sha256:489a20fd4f6067dc60141578ff226f9fbc1f0a5dd8779fe55a9985c50ac563fb

Observation 34bfc2b2-2a13-4f1c-b304-398a50681a7e · inbound

CaMo: Camera Motion Grounded Evaluation and Training for Vision-Language Models cites this paper.

CaMo: Camera Motion Grounded Evaluation and Training for Vision-Language Models STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T05:28:04.441525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-20T05:27:30.938311Z digest=sha256:8bf29c0a106a31c34ec78436fe0610d7d8536b5e59901e82e1e2bbb508fd1867

Observation d8b1592a-580c-4e30-ae30-f68d7d18df7f · inbound

Flat-Pack Bench: Evaluating Spatio-Temporal Understanding in Large Vision-Language Models through Furniture Assembly cites this paper.

Flat-Pack Bench: Evaluating Spatio-Temporal Understanding in Large Vision-Language Models through Furniture Assembly STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:21:20.665146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T09:20:32.920925Z digest=sha256:4ef11ab02313102a0356ba17a736ca80bdec80a1364c8cdb1777e390dd476e39

Observation dd3f9979-95c4-4dc4-a1f1-cd4eb25cc115 · inbound

Q-GeoMem: Question-Guided Geometric Memory for Video Spatial Reasoning cites this paper.

Q-GeoMem: Question-Guided Geometric Memory for Video Spatial Reasoning STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:23:50.980272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T18:15:28.261185Z digest=sha256:4871d96fb8a60939340719e5aaef24d8e6e564b63d0fc22ea772f31d1ef11935

Observation 1920eedb-05f3-40f7-b2e6-3633131927b2 · inbound

Q-GeoMem: Question-Guided Geometric Memory for Video Spatial Reasoning cites this paper.

Q-GeoMem: Question-Guided Geometric Memory for Video Spatial Reasoning STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-12T15:54:12.909974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T15:54:12.909974Z digest=sha256:6add15a07c228a66fe7be2a0cf46df58a3252fcdcb924eee69e5faa1a4190f26

Observation 41f59920-a41d-4fce-844a-118668491ab0 · inbound

Beyond 3D VQAs: Injecting 3D Spatial Priors into Vision-Language Models for Enhanced Geometric Reasoning cites this paper.

Beyond 3D VQAs: Injecting 3D Spatial Priors into Vision-Language Models for Enhanced Geometric Reasoning STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-06-29T07:53:13.667132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T07:47:52.739735Z digest=sha256:82e79efc6b6b2f0eb797deeeade09b4eec020a5ee841c2435a66440688f4075e

Observation 29da8a06-3bb5-4983-9a59-bf92699eb05a · inbound

LongSpace: Exploring Long-Horizon Spatial Memory from Perception to Recall in Video cites this paper.

LongSpace: Exploring Long-Horizon Spatial Memory from Perception to Recall in Video STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T12:16:57.229619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T02:16:25.730555Z digest=sha256:568dbccd047d3cd283033c2f45db0c959659969a6a10e02b88789beb863f2ab6

Observation 3c809614-428b-44b5-80de-97df429d3699 · inbound

Reason, Then Re-reason: Cross-view Revisiting Improves Spatial Reasoning cites this paper.

Reason, Then Re-reason: Cross-view Revisiting Improves Spatial Reasoning STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-07-03T08:57:47.477127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:41:41.697216Z digest=sha256:94f0f5328fc9d123cf7c7952e3a4433c26e0a797492242fa9c9a879322c46af0

Observation 124f1882-f6c3-404f-b165-96ff428db523 · inbound

AirGroundBench: Probing Spatial Intelligence in Multimodal Large Models under Heterogeneous Multi-View Embodied Collaboration cites this paper.

AirGroundBench: Probing Spatial Intelligence in Multimodal Large Models under Heterogeneous Multi-View Embodied Collaboration STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T04:43:06.920476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T04:34:40.202508Z digest=sha256:b48d233bde08d873c7b2ab6dc82434181fd91d3aa2a786779cb682e1eef35745