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Paper Citation Record · LEDGER

SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 64 inbound Pith citation observations for arXiv:2408.05517.

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

pith.paper-citation-record.v1
2408.05517 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 64 of 64 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:45:54.552152Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

5
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d679b4eb-e397-4628-b5b0-f2a4ae5528df · inbound

From 2D CAD Drawings to 3D Parametric Models: A Vision-Language Approach cites this paper.

From 2D CAD Drawings to 3D Parametric Models: A Vision-Language Approach SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 50

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no resolver link, observed 2026-08-11T14:34:00.781515Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:34:00.781515Z digest=sha256:5626be356602ff34413a8c83d5f2d36d1cb5fe54020eec9c8c191e5aaa3b8ebd

Observation 24c95ae2-2e04-4bdf-904f-724de1f7ce38 · inbound

Mediator: Memory-efficient LLM Merging with Less Parameter Conflicts and Uncertainty Based Routing cites this paper.

Mediator: Memory-efficient LLM Merging with Less Parameter Conflicts and Uncertainty Based Routing SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 2024

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no resolver link, observed 2026-08-09T00:07:44.801485Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:07:44.801485Z digest=sha256:7413237a47cde01613d9c319bc22a44f3ca6386b5d0b26f4c462a8c13770c5e2

Observation 45149a5f-0920-4de7-8168-ae75e20d095f · inbound

SARChat-Bench-2M: A Multi-Task Vision-Language Benchmark for SAR Image Interpretation cites this paper.

SARChat-Bench-2M: A Multi-Task Vision-Language Benchmark for SAR Image Interpretation SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 15

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source=pdf_text observed=2026-08-08T10:14:30.169777Z digest=sha256:05dd20e8353577afe8f2d9990e7423fb984a0cef5889aabd257c146c1dce17db

Observation 9a28972d-e845-4fa8-bc91-ba86380e5a60 · inbound

Object-Level Verbalized Confidence Calibration in Vision-Language Models via Semantic Perturbation cites this paper.

Object-Level Verbalized Confidence Calibration in Vision-Language Models via Semantic Perturbation SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 31

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no resolver link, observed 2026-08-16T11:45:54.552152Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:45:54.552152Z digest=sha256:dc322881926e332612328f7742ef1423ba97069d6bca6a3cb6e49fc50a03c3d5

Observation b482580b-b4dc-4bae-9772-bc39a4339b4e · inbound

Enhancing Non-Core Language Instruction-Following in Speech LLMs via Semi-Implicit Cross-Lingual CoT Reasoning cites this paper.

Enhancing Non-Core Language Instruction-Following in Speech LLMs via Semi-Implicit Cross-Lingual CoT Reasoning SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 47

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no resolver link, observed 2026-08-16T05:22:08.944459Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:22:08.944459Z digest=sha256:88fcdaf88cb6fff308df49f5295338d1af072a297986f9b824373b0cca24695b

Observation b8c948af-7aa7-4fb0-b58d-7eec3e7ac244 · inbound

Nexus-Gen: Unified Image Understanding, Generation, and Editing via Prefilled Autoregression in Shared Embedding Space cites this paper.

Nexus-Gen: Unified Image Understanding, Generation, and Editing via Prefilled Autoregression in Shared Embedding Space SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 58

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:10:53.551786Z digest=sha256:812afdb9db526a1d41612aaa98201c488988158d1c920114c37afc683297d961

Observation 5bb1439e-498d-4173-a198-15e309bf668b · inbound

Advancing Multimodal Reasoning via Reinforcement Learning with Cold Start cites this paper.

Advancing Multimodal Reasoning via Reinforcement Learning with Cold Start SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 69

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source=pdf_text observed=2026-08-07T13:12:59.184860Z digest=sha256:bb3ace3eb143e980a3ca322a00d67be0ae6024cba828fa4aac6445afc6549f9e

Observation c016390e-52e4-4925-aa35-151145ec6a97 · inbound

VideoCap-R1: Enhancing MLLMs for Video Captioning via Structured Thinking cites this paper.

VideoCap-R1: Enhancing MLLMs for Video Captioning via Structured Thinking SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 50

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no resolver link, observed 2026-08-07T11:40:57.810477Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:40:57.810477Z digest=sha256:0310b0370d3d6d1acb171db0ad66290cec64bdfee3cdd139207adc9d20def9dd

Observation 65c0c3a7-1e0e-42af-87eb-ab5f46fae5f3 · inbound

Teaching Physical Awareness to LLMs through Sounds cites this paper.

Teaching Physical Awareness to LLMs through Sounds SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:15:46.409352Z digest=sha256:d8e094dc390a65f9a08ea132b4912a7ca28b615a7bc94ffb9eeede429e61c14f

Observation 24983bd3-10c5-4138-8d99-7ff0ad5ad655 · inbound

Kvasir-VQA-x1: A Multimodal Dataset for Medical Reasoning and Robust MedVQA in Gastrointestinal Endoscopy cites this paper.

Kvasir-VQA-x1: A Multimodal Dataset for Medical Reasoning and Robust MedVQA in Gastrointestinal Endoscopy SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 54

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no resolver link, observed 2026-08-07T04:42:02.726920Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:42:02.726920Z digest=sha256:2a0db8fd5f176b8425d5c3986bd9fb4f90beecad960a13c1c6c2889fb08dacbd

Observation fb8b5de7-b2f8-4e92-a848-9531a44f6967 · inbound

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval cites this paper.

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 48

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:57:04.885839Z digest=sha256:093f6b58a5c8539c128cf0ca837d1f6061795b1f4821827d4bbf25d9630f71a6

Observation e5529aaf-4b55-4ddb-805b-9c35db50674c · inbound

HKD4VLM: A Progressive Hybrid Knowledge Distillation Framework for Robust Multimodal Hallucination and Factuality Detection in VLMs cites this paper.

HKD4VLM: A Progressive Hybrid Knowledge Distillation Framework for Robust Multimodal Hallucination and Factuality Detection in VLMs SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 48

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no resolver link, observed 2026-08-07T00:41:41.311937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:41:41.311937Z digest=sha256:8b86eed1d70efb01bd691231c18941086167e799f71d95250d615da7f580c440

Observation 1b6514b3-05a9-4548-8c10-8d4c835654b8 · inbound

Creative4U: MLLMs-based Advertising Creative Image Selector with Comparative Reasoning cites this paper.

Creative4U: MLLMs-based Advertising Creative Image Selector with Comparative Reasoning SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 40

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no resolver link, observed 2026-08-15T17:28:26.088959Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:28:26.088959Z digest=sha256:77d1118acf2b2ba61700d65a9125b85a4d24d79c4fc2ef952754a97182415e60

Observation b5092745-b063-4db6-9433-429e9a4f61dc · inbound

Uncertainty Under the Curve: A Sequence-Level Entropy Area Metric for Reasoning LLM cites this paper.

Uncertainty Under the Curve: A Sequence-Level Entropy Area Metric for Reasoning LLM SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 12

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:11:01.114635Z digest=sha256:4f3074ca7c778718f05f4c318548699e2941f6c0064844183774e871597a3a2f

Observation 882936b6-41ab-4fed-bd7c-ecfcdc81ac49 · inbound

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression cites this paper.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 43

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no resolver link, observed 2026-08-05T12:52:01.727269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:52:01.727269Z digest=sha256:9e9a8061495b57c812a2461e152a20a5c76d865581670bc7048a01772993db5d

Observation a372f475-a988-4f22-9268-ec09e97f4f92 · inbound

LESER: Learning to Expand via Search Engine-feedback Reinforcement in e-Commerce cites this paper.

LESER: Learning to Expand via Search Engine-feedback Reinforcement in e-Commerce SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 36

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no resolver link, observed 2026-08-15T16:25:58.557760Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:25:58.557760Z digest=sha256:a1b4d364569f602bdaafa818e3a1ad6dc3bd5e8472ca642387cf9f380febf423

Observation 473a49f6-83ad-4738-bd8a-84de2b3021aa · inbound

Physical Plausibility Reasoning via HCM-GRPO: Empowering Compact Model for Superior Performance cites this paper.

Physical Plausibility Reasoning via HCM-GRPO: Empowering Compact Model for Superior Performance SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 44

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unresolved
no resolver link, observed 2026-08-03T22:36:12.075758Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:36:12.075758Z digest=sha256:b273d915cb9c817ed95796b30581b8a94d5db869f401a0221ecd350bbe13d4bd

Observation bc8fa26b-b8f8-42de-abaf-658eaddfb799 · inbound

E3AD: An Emotion-Aware Vision-Language-Action Model for Human-Centric End-to-End Autonomous Driving cites this paper.

E3AD: An Emotion-Aware Vision-Language-Action Model for Human-Centric End-to-End Autonomous Driving SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 79

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no resolver link, observed 2026-08-03T18:37:03.712885Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:37:03.712885Z digest=sha256:ff574943936f07fbe5b2404257d6bbdc95e11bca8faa021367a40556315b64e3

Observation d9245cdc-c96b-410d-ae11-a8f22250e27d · inbound

PIAST: Rapid Prompting with In-context Augmentation for Scarce Training data cites this paper.

PIAST: Rapid Prompting with In-context Augmentation for Scarce Training data SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 3

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verified exact
arxiv_id, observed 2026-05-16T23:18:40.099220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-16T23:15:52.444217Z digest=sha256:8ed9a1de1716beb75b4344f7479ecfbbdc57d496dda46ccc753f6f980730830a

Observation 0ecbdf7d-f9e4-4a6f-9e73-f2b84cf9059b · inbound

KeyframeFace: Language-Driven Facial Animation via Semantic Keyframes cites this paper.

KeyframeFace: Language-Driven Facial Animation via Semantic Keyframes SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 46

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metadata mismatch
arxiv_id, observed 2026-05-16T22:48:38.172270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-16T22:46:51.954117Z digest=sha256:082f1bfa1bc984e6ebb99188b1abdf82ee9ce217cbebf3a388635aab446bcde9

Observation 62efef3f-1f69-41b3-80c4-185f89de77c5 · inbound

LLM-AutoDP: Automatic Data Processing via LLM Agents for Model Fine-tuning cites this paper.

LLM-AutoDP: Automatic Data Processing via LLM Agents for Model Fine-tuning SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 61

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arxiv_id, observed 2026-05-16T10:57:46.879481Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-16T10:54:22.183741Z digest=sha256:130ffcbf2cedec63e373f20454d4e4300f1dda275ca7bfc5c28f0a35ba6ad5b4

Observation 88e21ae9-2d42-44fa-a6ef-358e75a92a9b · inbound

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap cites this paper.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 51

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arxiv_id, observed 2026-05-22T11:41:30.136366Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T11:38:16.149523Z digest=sha256:4e631026924148ef186b2e5c2b94813d56d544544b4c831b936287abde5b50ba

Observation ddcfae20-3d24-4c4c-8a25-290fd4bc492b · inbound

SWE-Manager: Selecting and Synthesizing Golden Proposals Before Coding cites this paper.

SWE-Manager: Selecting and Synthesizing Golden Proposals Before Coding SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 51

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source=pdf_text observed=2026-08-03T06:22:27.609701Z digest=sha256:d0a50d26c96ab840c7e33506796bb578ee37b822e9cb03a2d0d4e13788e62c2c

Observation cd90561c-a20a-4027-b306-f5b21d598970 · inbound

ConPress: Learning Efficient Reasoning from Multi-Question Contextual Pressure cites this paper.

ConPress: Learning Efficient Reasoning from Multi-Question Contextual Pressure SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 28

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source=pdf_text observed=2026-08-03T05:43:55.046254Z digest=sha256:48504a5f5831dbc9a95da429bebf3b23442cacc25f3cddfb91b10b894eab9086

Observation 875ba1c2-634c-4b81-a82d-23debd52acc5 · inbound

Logics-Parsing-Omni Technical Report cites this paper.

Logics-Parsing-Omni Technical Report SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 26

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arxiv_id, observed 2026-05-15T13:40:01.771635Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-15T13:37:44.189839Z digest=sha256:48c3d692d3cfc9f39fb381e1956564e3b68a0fd5e1b6d2bc95830ce099e4c8e3

Observation 1e8128d5-93ef-485c-8298-ea6fa87d21a6 · inbound

AI Can Learn Scientific Taste cites this paper.

AI Can Learn Scientific Taste SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 63

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source=pdf_text observed=2026-08-02T18:14:54.470711Z digest=sha256:4be7599abb63590eab4bc7745ef82de9ac1952f4a75f9e1636382fde48ca61b9

Observation 47bf6857-0b08-468b-9060-dc0d7535e938 · inbound

TSHA: A Benchmark for Visual Language Models in Trustworthy Safety Hazard Assessment Scenarios cites this paper.

TSHA: A Benchmark for Visual Language Models in Trustworthy Safety Hazard Assessment Scenarios SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 45

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T17:05:15.217292Z digest=sha256:b2bb23532462d089178fa26c06e27ae4528ccedae5b898d77ed4054c9fe9c224

Observation 60e0ec60-fc9d-42b0-bcb7-57d87219c693 · inbound

JU\'A -- A Benchmark for Information Retrieval in Brazilian Legal Text Collections cites this paper.

JU\'A -- A Benchmark for Information Retrieval in Brazilian Legal Text Collections SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 24

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verified exact
arxiv_id, observed 2026-05-11T00:30:51.171994Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T18:30:21.644766Z digest=sha256:cb6717f0fac23044d8f09c1eb3de0ca9a11269e991982d4e1275a65e6a897cee

Observation 96414d0f-e439-495f-b2cd-99e400fc6132 · inbound

EasyVideoR1: Easier RL for Video Understanding cites this paper.

EasyVideoR1: Easier RL for Video Understanding SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 55

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arxiv_id, observed 2026-05-10T07:42:06.717229Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T07:41:27.231098Z digest=sha256:be6d6f83b8d1144290ec6b21cbd5d0a4a6593379851596f16324ab5f86e7d5b6

Observation 37422599-401a-492a-bb91-420499f55006 · inbound

Steadily moving semi-infinite fracture in plane poroelasticity cites this paper.

Steadily moving semi-infinite fracture in plane poroelasticity SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 115

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verified exact
local_arxiv, observed 2026-07-05T11:41:02.648115Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-05T11:39:05.686584Z digest=sha256:9beaaec776da0642a03a568fa4b9af8d161afb671dbb9a0b6df090aa5b0dfea7

Observation a5b1aa0d-86da-4e04-9bd5-e41eda7ba140 · inbound

XEmbodied: A Foundation Model with Enhanced Geometric and Physical Cues for Large-Scale Embodied Environments cites this paper.

XEmbodied: A Foundation Model with Enhanced Geometric and Physical Cues for Large-Scale Embodied Environments SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 115

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arxiv_id, observed 2026-05-10T05:51:10.308339Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T05:46:36.865150Z digest=sha256:d858f5f454f769efd0cc1b8fab4a0f2fb586f593506f5ac239c15221a9f2bd0a

Observation fe75f470-079e-4947-8b25-ec310d85e96d · inbound

Supermassive Black Hole Winds in X-rays: SUBWAYS IV. Tracing Radio Emission and Unveiling the Role of Winds cites this paper.

Supermassive Black Hole Winds in X-rays: SUBWAYS IV. Tracing Radio Emission and Unveiling the Role of Winds SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 23

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no resolver link, observed 2026-07-12T18:39:55.906516Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T18:39:55.906516Z digest=sha256:e01bbaaadc09f781e3101fe03f63e66aacfaeb8d8ad91a88583f9360b62e003c

Observation b53ae53a-8d79-4f4a-8a30-bf27b50d701e · inbound

S1-VL: Scientific Multimodal Reasoning Model with Thinking-with-Images cites this paper.

S1-VL: Scientific Multimodal Reasoning Model with Thinking-with-Images SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 23

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verified exact
arxiv_id, observed 2026-05-09T22:34:07.539501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-09T22:26:03.080281Z digest=sha256:ea476d468a50073940ef6e6900516643b93b34a38a9ecbaf3c4672ca871466cc

Observation 99305059-043d-4e1b-bd0a-6f287fc3a35b · inbound

Domain-Adaptive Dense Retrieval for Brazilian Legal Search cites this paper.

Domain-Adaptive Dense Retrieval for Brazilian Legal Search SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 27

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metadata mismatch
arxiv_id, observed 2026-05-12T11:06:29.768927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-07T14:02:18.751292Z digest=sha256:33cdf3d5613863518adf147a8ee72d4a711de7571fe647f1744bf1889ee4a8d7

Observation 7d06a2c3-bd92-4da5-ab16-671656e6682a · inbound

Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search Systems cites this paper.

Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search Systems SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T23:51:41.097097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-07T16:06:51.876295Z digest=sha256:8b40653a92553d2c97bff239c2a5b9fcd672f1a91d25249202afcc50c99bc633

Observation c2fbb130-55d2-4b6e-beb9-d5a24a6a545f · inbound

HyperEyes: Dual-Grained Efficiency-Aware Reinforcement Learning for Parallel Multimodal Search Agents cites this paper.

HyperEyes: Dual-Grained Efficiency-Aware Reinforcement Learning for Parallel Multimodal Search Agents SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 45

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T01:45:52.354425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:28:36.266167Z digest=sha256:263bc686666ce71ae589801fbd22fb6dea3758d9145e965b9ae1744b57e7d0a1

Observation b1bf84eb-c75c-4ef5-a386-130316ab38f5 · inbound

HyperEyes: Dual-Grained Efficiency-Aware Reinforcement Learning for Parallel Multimodal Search Agents cites this paper.

HyperEyes: Dual-Grained Efficiency-Aware Reinforcement Learning for Parallel Multimodal Search Agents SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 45

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T03:21:19.019465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-12T03:18:01.006274Z digest=sha256:a8938ca30b927762460ea98e9fc3f1afe4fa60ea80d3d76e5f6b819a9bfdf91f

Observation 0854c3ee-4f4e-4f74-b40b-4f9d4d2e4648 · inbound

Video Understanding Reward Modeling: A Robust Benchmark and Performant Reward Models cites this paper.

Video Understanding Reward Modeling: A Robust Benchmark and Performant Reward Models SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:45:58.442620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T02:18:20.880231Z digest=sha256:5e47f437cbbdacf93bf0bddc62f54cd0f6727383095f8374fcf84b244f9e997f

Observation bee764d9-c0e4-454e-a0ea-6bf13025d045 · inbound

Omni-Persona: Systematic Benchmarking and Improving Omnimodal Personalization cites this paper.

Omni-Persona: Systematic Benchmarking and Improving Omnimodal Personalization SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T06:46:25.284255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-12T04:01:23.060562Z digest=sha256:c47b76ad1fc88b6f1e5d644a514c8ad73feab2e9d0bae2aef9b268e14b301c15

Observation 1554a6ec-199f-4cde-80d5-a31659eebf5a · inbound

TimeSRL: Generalizable Time-Series Behavioral Modeling via Semantic RL-Tuned LLMs -- A Case Study in Mental Health cites this paper.

TimeSRL: Generalizable Time-Series Behavioral Modeling via Semantic RL-Tuned LLMs -- A Case Study in Mental Health SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 80

Resolution
verified exact
arxiv_id, observed 2026-05-21T06:13:59.555684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T06:09:44.172188Z digest=sha256:706560ca53f26d889a37cba26b7416816526c143841bfa94098fad430e23a85e

Observation e72d38c3-6bd2-4570-a250-f5c7562a005a · inbound

From Patches to Trajectories: Privileged Process Supervision for Software-Engineering Agents cites this paper.

From Patches to Trajectories: Privileged Process Supervision for Software-Engineering Agents SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 31

Resolution
malformed identifier
arxiv_id, observed 2026-05-22T05:14:37.579304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T05:13:26.057531Z digest=sha256:1c733c3d93a000feed4bb38176710d3dca0a2eb0e882402e57d11cdd7a19a37c

Observation cbc97d37-0297-4137-8eee-29aef043c4cb · inbound

BeLink: Biomedical Entity Linking Meets Generative Re-Ranking cites this paper.

BeLink: Biomedical Entity Linking Meets Generative Re-Ranking SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-22T06:41:10.277335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T06:40:55.511212Z digest=sha256:62e50e7beb41bd952528d111f1f1bc3a979176a4724555423d7d78b36f3bc259

Observation 08baf1b9-7881-4e72-97d3-d57c4724f453 · inbound

Learning When to Think While Listening in Large Audio-Language Models cites this paper.

Learning When to Think While Listening in Large Audio-Language Models SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 37

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T18:43:50.724197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-29T18:37:34.409802Z digest=sha256:b496ac5ea4e34813a3386e9c1e917e2e54906e38e02fb15906fc20a2095631b5

Observation 63f9fc3d-6b3e-42c3-a643-e30674689006 · inbound

Qwen-Image-Bench: From Generation to Creation in Text-to-Image Evaluation cites this paper.

Qwen-Image-Bench: From Generation to Creation in Text-to-Image Evaluation SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T14:13:30.361564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-29T14:05:25.988619Z digest=sha256:e7a898e4fb77b5df0747a8e2efe4c037fbf6266d0486d5f9cd14a5947393eab9

Observation cfd4ae1f-dd9a-4506-a562-2202f76d1797 · inbound

K-FinHallu: A Hallucination Detection Benchmark for Multi-Turn RAG in Korean Finance cites this paper.

K-FinHallu: A Hallucination Detection Benchmark for Multi-Turn RAG in Korean Finance SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-06-29T09:03:16.140995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-29T08:54:48.807164Z digest=sha256:dd0a2db1c7a4f8101c043d485ec19036eee224232a415da32c6746d5f37c5130

Observation b610acbd-a67a-43d8-8d8f-9748c05f5fc2 · inbound

When Should Models Change Their Minds? Contextual Belief Management in Large Language Models cites this paper.

When Should Models Change Their Minds? Contextual Belief Management in Large Language Models SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-06-29T07:23:12.954227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-29T07:17:07.720589Z digest=sha256:1466ba97829c2384e9930b65361b02aadeba726e9348a7698cb62960095ef947

Observation a894fd34-3e04-4788-8637-2d754532f110 · inbound

PInVerify: An Offline Embodied Benchmark for Active Instance Verification cites this paper.

PInVerify: An Offline Embodied Benchmark for Active Instance Verification SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 44

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T07:33:13.567217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-29T07:30:59.306097Z digest=sha256:3ad701e4e91178e04843b8756581bf41f4631df4ec68a6e2e7b012f6b3a755cd

Observation af3e94a3-a30a-4b51-a951-e01df5f4b877 · inbound

Internalize the Temperature: On-Policy Self-Distillation as Policy Reheater for Reinforcement Learning cites this paper.

Internalize the Temperature: On-Policy Self-Distillation as Policy Reheater for Reinforcement Learning SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T19:52:35.379207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-28T18:50:11.545670Z digest=sha256:48c7db7830cb613e29737ab4c8e2031022d5af39fad4575b4e8fd0a2f72935bc

Observation 829c2252-e9df-4d00-b94c-b36dcbfb625f · inbound

Fine-grained Fragment Retrieval in Multi-modal Long-form Dialogues cites this paper.

Fine-grained Fragment Retrieval in Multi-modal Long-form Dialogues SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 147

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T08:26:47.942245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-28T06:04:28.939248Z digest=sha256:29bd8949c75d9de9ade3831798fb7a6bc7c912087e6940e8fa637aaba436cce1

Observation 26492af0-7033-4bfb-bea0-3299d36c7ea8 · inbound

AlloSpatial: Agentic Harness Framework for Spatial Reasoning in Foundation Models cites this paper.

AlloSpatial: Agentic Harness Framework for Spatial Reasoning in Foundation Models SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 47

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T00:27:29.714698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-27T17:08:22.609095Z digest=sha256:6f71b020cd07373840f7112e485c81ec69f67fc50a9492a38d3d1c816ad27dde

Observation 31eb51bb-3fe4-4362-acc5-e814de17e077 · inbound

Teach-and-Repeat: Accurately Extracting Operational Knowledge from Mobile Screen Demonstrations to Empower GUI Agents cites this paper.

Teach-and-Repeat: Accurately Extracting Operational Knowledge from Mobile Screen Demonstrations to Empower GUI Agents SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T13:58:22.133057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-27T07:20:29.742324Z digest=sha256:1a549364bdf4c7dfc6ad6bddfd1c82a021a727e2d302386d9f925cfa85e4ca85

Observation 98da5b53-1e7f-445b-b091-2dc93c0e07d3 · inbound

Do Multimodal Large Language Models Need Reasoning to Classify Dementia from Speech? cites this paper.

Do Multimodal Large Language Models Need Reasoning to Classify Dementia from Speech? SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 47

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T16:37:09.069842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-02T16:33:24.814535Z digest=sha256:87d7ccb6a1ad26b469832715058f4a30d517eaca0ac5cef3ad27148484fc134e

Observation 4b8d9c00-c83d-4fc3-bf33-3049a30e91c5 · inbound

Do Multimodal Large Language Models Need Reasoning to Classify Dementia from Speech? cites this paper.

Do Multimodal Large Language Models Need Reasoning to Classify Dementia from Speech? SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 49

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T21:58:58.532049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-03T21:50:08.426788Z digest=sha256:39f7e603fa0178709fb9f29c5c8fb588e0be99a449d1edd020a30f1537955981

Observation 8727b6d7-e9d8-4265-9e3b-e164b4ed2553 · inbound

Eluna: An Agentic LLM System for Automating Warehouse Operations with Reasoning and Task Execution cites this paper.

Eluna: An Agentic LLM System for Automating Warehouse Operations with Reasoning and Task Execution SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 16

Resolution
unresolved
no resolver link, observed 2026-07-13T05:30:10.497783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T05:30:10.497783Z digest=sha256:db1cadad42f23a107a99190041fb706837aaddf5cdf7b1eaf56bce648124eb37

Observation f5c2ae28-eea9-41e4-bc5a-c3c73aedd59b · inbound

GMoT: Gated Motion-Aware Tokenization for Fine-Grained Micro-Gesture Video Reasoning with Multimodal LLMs cites this paper.

GMoT: Gated Motion-Aware Tokenization for Fine-Grained Micro-Gesture Video Reasoning with Multimodal LLMs SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-02T04:39:26.757188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:39:26.757188Z digest=sha256:ffffd420200d6107913e37b1f975c87ca34f1c029fdfb2500175f382146848ac

Observation 9b702e80-475a-4988-acb8-da5925768003 · inbound

NOWJ@COLIEE 2026: Adaptive Pipelines for Legal Retrieval and Reasoning cites this paper.

NOWJ@COLIEE 2026: Adaptive Pipelines for Legal Retrieval and Reasoning SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-01T20:30:52.367832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:30:52.367832Z digest=sha256:799df379e20715940a51f5b77c5906083176b27a460e38ccc0468e45caab481a

Observation 99906e1e-b35a-430e-a39a-50b0cfcc7171 · inbound

AIGB-R1: Self-Evolving Generative Auto-Bidding via Hierarchical Planner-Executor Optimization cites this paper.

AIGB-R1: Self-Evolving Generative Auto-Bidding via Hierarchical Planner-Executor Optimization SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-01T18:32:48.818855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:32:48.818855Z digest=sha256:6d9f751647839b9bdeaf049074b8c02717451ecb7b85c8124bfd9cef82123923

Observation be360f7b-d396-4cbd-bec9-21a58e28f502 · inbound

Benchmarking Deep Learning Approaches for AEC Engineering Drawing Layout Detection and Information Extraction cites this paper.

Benchmarking Deep Learning Approaches for AEC Engineering Drawing Layout Detection and Information Extraction SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-01T13:53:02.815014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T13:53:02.815014Z digest=sha256:a6d3edadbde8bce938eb63df9fe90df90c2ea74e1c3fbfb14e29d2c1445f3fcf

Observation af7b0871-ff3f-4f24-9e54-1683ba3543da · inbound

Auto-Fill: Learning to Predict Missing Values Accurately with Specialist Language Models cites this paper.

Auto-Fill: Learning to Predict Missing Values Accurately with Specialist Language Models SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-01T11:40:05.213707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T11:40:05.213707Z digest=sha256:a5748560d55b0f009229184724cb83c397ae01f192d77b22439f80b002d8ab3b

Observation 578bce50-7a9d-4f94-a164-91b5c8138e14 · inbound

Traceable LLM Reasoning for Fake-Order Fraud Detection cites this paper.

Traceable LLM Reasoning for Fake-Order Fraud Detection SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-01T03:44:28.126292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:44:28.126292Z digest=sha256:5ea91b46d6377aea46ec888e3dd04dea1973baf5c0ad40acb16e9b2500822e00

Observation afdff7b7-ffb4-4c36-b5bd-3f66f8abecd3 · inbound

MindForge: Teaching Small Language Models Whole-Life-Cycle Software Engineering via Source-Free Program Synthesis cites this paper.

MindForge: Teaching Small Language Models Whole-Life-Cycle Software Engineering via Source-Free Program Synthesis SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 21

Resolution
unresolved
no resolver link, observed 2026-07-30T12:11:35.034758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:11:35.034758Z digest=sha256:ca7dfd67fa843efb2f5cd2ef0de2735aba5f2e20a89cd8ca63635acafc93bbb2

Observation c6c228fe-01d3-4654-97d2-df6d8e3e858f · inbound

Beacon: Knowing When and How to Perform Agentic Visual Reasoning cites this paper.

Beacon: Knowing When and How to Perform Agentic Visual Reasoning SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 47

Resolution
unresolved
no resolver link, observed 2026-07-31T02:45:28.697827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T02:45:28.697827Z digest=sha256:60943e79990838e17fef76ecde79d4f760515880fc964c505a1b1c00fffbfad1

Observation f91dd716-22d2-4833-8815-b282da6855f2 · inbound

Adaptive Supervised Anchoring for On-Policy Self-Distillation cites this paper.

Adaptive Supervised Anchoring for On-Policy Self-Distillation SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T00:45:53.532553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:45:53.532553Z digest=sha256:91303d119169cfbf91d4b2848d88cdfe0063775308810d8e80aa3fa7ebd79fa1

Observation 8c843bf2-b5d4-4618-9bea-18a4fdfe7842 · inbound

Adaptive Supervised Anchoring for On-Policy Self-Distillation cites this paper.

Adaptive Supervised Anchoring for On-Policy Self-Distillation SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-15T14:30:59.109816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:30:59.109816Z digest=sha256:5af7ec5617675dc87a5c302ce604006f013d6017cac88a868e4cb419feace715