Pith. sign in

Paper Citation Record · LEDGER

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning

As of 16 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2608.01635.

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

pith.paper-citation-record.v1
2608.01635 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:10:13.252046Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

54 of 54 outbound references displayed

  • verified exact4
  • verified fuzzy4
  • unresolved44
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f8a9a247-2cdc-4f31-967e-344c83c85e75 · outbound

This paper cites GPT-4 Technical Report.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning GPT-4 Technical Report

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T15:10:13.025869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:10:13.025869Z digest=sha256:ab051f1d50cb8b2f2e2668f831735ff402b6ed2a3091ca6be9c75c3b5ef0e10d

Observation c37d79e8-fa56-4c39-98a7-d0a1e6f10c9b · outbound

This paper cites an unresolved cited work.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-15T15:10:13.031347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:10:13.031347Z digest=sha256:a67c71f2872cc8c6facc52b5f193dceb7b87a343f97dbec9afee21db98a15213

Observation d550d22c-b605-49b2-ae72-de55c401c120 · outbound

This paper cites Qwen2.5-VL Technical Report.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Qwen2.5-VL Technical Report

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-15T15:10:13.040882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:10:13.040882Z digest=sha256:b4176ef19583ed867c7d75fdeeade229eadb6b799a6f0fa2f8c2bda8634b972d

Observation 7f79ca4e-f91c-4539-af8f-949ee5c8b7f8 · outbound

This paper cites an unresolved cited work.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-15T15:10:13.048917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:10:13.048917Z digest=sha256:be1c7305a18c49cf357912afc2ab263cc30a9348be1ca8a25805927b755061ac

Observation cbce7e97-ed3e-4061-91e7-c5b6994c6e47 · outbound

This paper cites InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T15:10:13.053878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:10:13.053878Z digest=sha256:159fc70bca5eb58391924b6f61a8377c09d2961aeee13634ef477dc369d4f94a

Observation b7fe13db-620d-4b0d-82b4-715d503d6707 · outbound

This paper cites an unresolved cited work.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T15:10:13.058503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:10:13.058503Z digest=sha256:7a73a06e028ec0f0f464c290c8e392b3054a992dc22bc60e9cb172db456fad76

Observation b35bdf3a-9d49-44c5-ae35-eeac53f711c8 · outbound

This paper cites MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-15T15:10:13.062864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:10:13.062864Z digest=sha256:f3ae5415b38ca39bb0d4f7472d0c17c54a8c4d6af5f13f3ff859b318b5177272

Observation 37f2b892-f65d-4f11-b6cd-7fa3ae1c5d04 · outbound

This paper cites Hidden in plain sight: VLMs overlook their visual representations.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Hidden in plain sight: VLMs overlook their visual representations

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T15:10:13.066770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:10:13.066770Z digest=sha256:79e68f5258674a5ce72d64327cf6923ac0bd3f44ab01f4ab004359527cd8d67c

Observation bac51d75-f5c4-4fb2-a92e-18c46cc5e294 · outbound

This paper cites an unresolved cited work.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-15T15:10:14.183812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T15:10:13.071059Z digest=sha256:1efdde7e080690398572d94ebefd95ae09a78d83b30ab1dcec3fc29ec96c6fc1

Observation e17aaac1-8b82-4ba0-a645-e0432dc272a5 · outbound

This paper cites E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-15T15:10:13.074455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:10:13.074455Z digest=sha256:390ffa1741653da00a6728df9e9e24428d8e4da74a36dc5927e1aca4060020bc

Observation 9684e802-5fe9-41d4-b923-8f1ba2e70e74 · outbound

This paper cites an unresolved cited work.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Unresolved cited work

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-15T15:10:13.078500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:10:13.078500Z digest=sha256:5f8f835f5002953d30d877d742dec87e58c39487d8c7a7b4ebbcaf888dd9b1e5

Observation 12dc7a2f-9fb7-4945-8cb5-32c504fc2108 · outbound

This paper cites Visual Prompt Tuning.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Visual Prompt Tuning

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T15:10:13.082114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:10:13.082114Z digest=sha256:6ba12b83a4ab157be85ade269b671ae4c0886aa665e6aff815d6e2232024eb66

Observation 309ad413-30c8-43a7-b124-7c7ef35c92d5 · outbound

This paper cites From CLIP to DINO: Visual Encoders Shout in Multi-modal Large Language Models.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning From CLIP to DINO: Visual Encoders Shout in Multi-modal Large Language Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T15:10:13.086299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:10:13.086299Z digest=sha256:02a1ef78425d735c61a7ef488c2e50d834ab77ffb57b2ceb3de71bbbe139c188

Observation 81e457f9-9a81-49bd-a68c-0130329ba1ab · outbound

This paper cites 2025.Multimodal Continual Learning with MLLMs from Multi-scenario Perspectives.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning 2025.Multimodal Continual Learning with MLLMs from Multi-scenario Perspectives

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:10:14.166448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T15:10:13.090066Z digest=sha256:dc6ec0c3a60223d64857bfacfb98ce2d9e1c77090baf96d85a055ea1c3efebe0

Observation c0db908a-a066-4042-9000-895dbd37eaf8 · outbound

This paper cites 2026.Mitigating Long-Tail Bias in HOI Detection via Adaptive Diversity Cache.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning 2026.Mitigating Long-Tail Bias in HOI Detection via Adaptive Diversity Cache

Reference 16

Resolution
verified exact
raw_fallback, observed 2026-08-15T15:10:13.927072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T15:10:13.093510Z digest=sha256:39fb2d5e4aafe9cf1b253dbe1ff41622bbb73ef44bd41e428475838fbf134c34

Observation db2dc4bb-1474-4ec9-9357-d27ec5855f24 · outbound

This paper cites an unresolved cited work.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Unresolved cited work

Reference 17

Resolution
verified exact
doi, observed 2026-08-15T15:10:13.308319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T15:10:13.096901Z digest=sha256:200fdb4562c7a1fc398580878255362cd270e759fd466055154f205b4a0fb67a

Observation 0e0d2263-5b2d-4d16-bffe-10a3976b2eca · outbound

This paper cites an unresolved cited work.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-15T15:10:14.155987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T15:10:13.100537Z digest=sha256:2524b6b7df9fcb901bead56a64f4e0bd6ee6838e66d7b6320070d36b0f61d72e

Observation 23045e58-746a-45c1-b41f-cd28f84b0439 · outbound

This paper cites Khan, and Fahad Shahbaz Khan.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Khan, and Fahad Shahbaz Khan

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-15T15:10:13.104160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:10:13.104160Z digest=sha256:ef9b84fa8230bb274f49b818ea2d90b8f680d8a55bf346c7dc9793b492cc6946

Observation ad8c2032-b06c-4849-8bdc-7d428710ca76 · outbound

This paper cites an unresolved cited work.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Unresolved cited work

Reference 20

Resolution
malformed identifier
no resolver link, observed 2026-08-15T15:10:13.107980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:10:13.107980Z digest=sha256:b524ab1bea8d207a4b3f56de612a62dec026950f2dc9ef848bb4021a0a03c51e

Observation 2182b9a1-777d-4b2f-a8ef-6ea26a1218c2 · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning LLaVA-OneVision: Easy Visual Task Transfer

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-15T15:10:13.111459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:10:13.111459Z digest=sha256:0dad533f1c82d0df08f2084ed421cebe9d9fc33c62dd65d950dd51d3044deaf8

Observation 89bb2ef1-3030-4762-a905-4c43819e7b82 · outbound

This paper cites LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-15T15:10:13.115677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:10:13.115677Z digest=sha256:098b9b1079553ba4535bd26523199ad440307bc36b81ab6d69323815e9e8205d

Observation 11feea3a-1ee2-4275-86aa-1e943d615aa3 · outbound

This paper cites Evaluating Object Hallucination in Large Vision-Language Models.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Evaluating Object Hallucination in Large Vision-Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-15T15:10:13.120268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:10:13.120268Z digest=sha256:6269dab379b33acf34b53c073da7d91c05f39acab0ede9f3785ff86f26e166a4

Observation d51b2a6c-967a-4056-94c4-047274a93f7e · outbound

This paper cites Depth Anything 3: Recovering the Visual Space from Any Views.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Depth Anything 3: Recovering the Visual Space from Any Views

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-15T15:10:13.127658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:10:13.127658Z digest=sha256:17df1659774f257f34431bf625d5dc7a3afa53e1798bf2a5ada6d4bc40e32c03

Observation d19ed299-2527-42d2-a1e5-7bbb6a31b8b9 · outbound

This paper cites SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-15T15:10:13.132482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:10:13.132482Z digest=sha256:4aede1502087766784a48988256f44e93c3e68bb8220c7cc3da054593d5f8f9f

Observation 338ac0d0-3396-4603-ac07-8d48497517ab · outbound

This paper cites an unresolved cited work.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Unresolved cited work

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-15T15:10:13.139583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:10:13.139583Z digest=sha256:2665dee20034d1c156e71c08888b23b9431448240da3c133ea160f28288137b7

Observation 9c836d49-9359-4940-93ba-610794140d9b · outbound

This paper cites an unresolved cited work.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Unresolved cited work

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-15T15:10:13.143077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:10:13.143077Z digest=sha256:d4c4071926235a1c5770d47892d20095828516e6ab4c5410ceb11bf3c64fb7a6

Observation 4872d35d-2895-49a7-87aa-0703129e4ec0 · outbound

This paper cites DeepSeek-VL: Towards Real-World Vision-Language Understanding.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning DeepSeek-VL: Towards Real-World Vision-Language Understanding

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-15T15:10:13.150579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:10:13.150579Z digest=sha256:d1d6f160bd636a1aeb3a482c2c5165bcff6e3dcd4ef02aa4aa3fb0bf907c9bcf

Observation c621f11c-b09d-4ba2-9153-f9d45701f3e8 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning DINOv2: Learning Robust Visual Features without Supervision

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-15T15:10:13.154334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:10:13.154334Z digest=sha256:4eb5e8d864c7effd457c364445a7c318cf3805223388023b118f50f01b5f691f

Observation 1d242530-9e7c-428f-bf66-b12ab8651103 · outbound

This paper cites Bidirectional Prototype-Reward co-Evolution for Test-Time Adaptation of Vision-Language Models.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Bidirectional Prototype-Reward co-Evolution for Test-Time Adaptation of Vision-Language Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-15T15:10:13.158198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:10:13.158198Z digest=sha256:7ff7c4fbf7b80a0bbab2aa01c5c12fa9ea9ef35cdb56d7513e9a687d8aa5bd1b

Observation 923c3540-74a9-4e62-8acc-04b5c39bf4a7 · outbound

This paper cites 2025.Class-A ware Prototype Learning with Negative Contrast for Test-Time Adaptation of Vision-Language Models.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning 2025.Class-A ware Prototype Learning with Negative Contrast for Test-Time Adaptation of Vision-Language Models

Reference 33

Resolution
verified exact
raw_fallback, observed 2026-08-15T15:10:13.632507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T15:10:13.162430Z digest=sha256:7641bd6b8c7606669cd4eb1341442d7c807cb1d47cf5587655b6e9348f5c99ad

Observation c1a24e7f-ca37-44c5-aaa3-2ff4505debdc · outbound

This paper cites an unresolved cited work.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-15T15:10:14.131262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T15:10:13.166088Z digest=sha256:31a998efce5935dc1cd2d54b881412813cafd049fd052ac7f6910804818b3420

Observation 47670324-4b97-4c58-ae8f-1a8cf8d99b94 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning SAM 2: Segment Anything in Images and Videos

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-15T15:10:13.169720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:10:13.169720Z digest=sha256:9a91b5994aed0b8682ff62293732d08565d412b23c438cc00c6f0645daf34672

Observation 49abcba5-801d-4ff5-a088-ac89af31c9ab · outbound

This paper cites Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-15T15:10:13.173431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:10:13.173431Z digest=sha256:08dd7d6229e0f514cceb4619d3b001d9d5377a5d5ef7927db2e6fdf3816afb11

Observation 3296478f-c6af-41e9-8b84-5a5db73248f6 · outbound

This paper cites DINOv3.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning DINOv3

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-15T15:10:13.177406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:10:13.177406Z digest=sha256:b93fe71524f11f9d8e81a6703a830b651701baf897271698a76b9ab48b8be499

Observation d03f54d1-bb82-4ced-9acb-fc1bdbf6942e · outbound

This paper cites EVA-CLIP: Improved Training Techniques for CLIP at Scale.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning EVA-CLIP: Improved Training Techniques for CLIP at Scale

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T15:10:13.181142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:10:13.181142Z digest=sha256:a72decb7b00af394e9dfa2d71f4401a60bdda095c2e40e54d771b427fcd3e6a1

Observation 6c77af0c-747e-42dc-b848-627ee9cf924e · outbound

This paper cites Kimi K2: Open Agentic Intelligence.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Kimi K2: Open Agentic Intelligence

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-15T15:10:13.184765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:10:13.184765Z digest=sha256:31fa8d0345ac92376751bf265f26f175a3fdc63c40a2f9981b9bbacf6e8d0922

Observation 7416d642-e99f-4d6d-a36e-e6d99a734b60 · outbound

This paper cites an unresolved cited work.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Unresolved cited work

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-15T15:10:13.189278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:10:13.189278Z digest=sha256:cac937498d0af02b9502961f228c75ef98163e499a5fdf695724f4ae1c60aa96

Observation 9a8fbc30-7b7a-4a48-9baa-cd9bc80176ce · outbound

This paper cites an unresolved cited work.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Unresolved cited work

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T15:10:13.193008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:10:13.193008Z digest=sha256:19da3e10ae39b051b40be99293a796a1fd5cce4382bd300c813ccf329073d004

Observation b8a4aa43-56d9-4f97-a82b-a01e93f38214 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning LLaMA: Open and Efficient Foundation Language Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-15T15:10:13.196265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:10:13.196265Z digest=sha256:21f1c076a9980480703e1c74622041db94207c4a64397fc93d8d9d9e4b47ac41

Observation 57fe104e-266e-4312-b144-ceee984e14f4 · outbound

This paper cites SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-15T15:10:13.200530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:10:13.200530Z digest=sha256:d30eca272e5c9b831ac5b71ec25a19e3e62ac956ffd50812d1aa09b2a09d6b0f

Observation faf847d0-07d0-4c63-ba6f-66f2744f8d26 · outbound

This paper cites Reconstructive Visual Instruction Tuning.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Reconstructive Visual Instruction Tuning

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-15T15:10:13.209403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:10:13.209403Z digest=sha256:424558584c24cbfd24832ac155e429d03502ad1ecfb5946da497792dd1af797c

Observation 51f42715-6559-43f6-a532-b04de1468418 · outbound

This paper cites Stop Looking for Important Tokens in Multimodal Language Models: Duplication Matters More.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Stop Looking for Important Tokens in Multimodal Language Models: Duplication Matters More

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-15T15:10:13.213356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:10:13.213356Z digest=sha256:4109806e852481be4b155e6c8d3aa00588d8e9d9a6b530b93ea6f5cb55a31065

Observation 2547d169-cfce-4cc3-81f5-0c6aaebff641 · outbound

This paper cites Qwen3 Technical Report.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Qwen3 Technical Report

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-15T15:10:13.217075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:10:13.217075Z digest=sha256:5a7261e5e9ba8aad46cc89d38bda942feb6790b8667b2688c2c5af09c28defa6

Observation 9b444dfb-fa95-415c-b73c-c9f217471890 · outbound

This paper cites an unresolved cited work.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Unresolved cited work

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-15T15:10:13.221110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:10:13.221110Z digest=sha256:94f0b51f1cf5e746ad062d08e2cb90696a4857550d36a9f8a9809471bac7f147

Observation 0a8c1e7b-3ed6-4bf9-8854-bc4b81d88509 · outbound

This paper cites 2026.Holo-World: Unified Camera, Object and Weather Control for Video World Model.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning 2026.Holo-World: Unified Camera, Object and Weather Control for Video World Model

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:10:14.114074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T15:10:13.224820Z digest=sha256:1244714214dd8c714577d3ed4f2e14695f3badc6d5d351d4bd2b856cf8a5ccf7

Observation 0367c7d9-a98a-44c1-9c0e-a7903022580e · outbound

This paper cites 2025.Visual Representation Alignment for Multimodal Large Language Models.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning 2025.Visual Representation Alignment for Multimodal Large Language Models

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-15T15:10:13.228242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:10:13.228242Z digest=sha256:3eba8d749aed339db1db563df6cda2417e0c0513d6138a9fbd218a9881a1631b

Observation db43555a-3cc1-4100-86fd-a1e9da023427 · outbound

This paper cites Introducing Visual Perception Token into Multimodal Large Language Model.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Introducing Visual Perception Token into Multimodal Large Language Model

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-15T15:10:13.231969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:10:13.231969Z digest=sha256:324edee584d925f8b03091438a0a1b83cb888fa94608f62b780db984fbaf271e

Observation 1f88e854-3dd7-4b90-a786-ac89bd15ff91 · outbound

This paper cites 2024.Representation alignment for generation: Training diffusion transformers is easier than you think.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning 2024.Representation alignment for generation: Training diffusion transformers is easier than you think

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:10:14.102506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T15:10:13.235666Z digest=sha256:f607b314950c3e48e16e7a2909a76a1d544c7342db1cfdfdf20b9fd32169f5a8

Observation 0a9b5cbe-0297-4743-80ae-cc5f2ef9f23f · outbound

This paper cites When and why vision-language models behave like bags-of-words, and what to do about it?.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning When and why vision-language models behave like bags-of-words, and what to do about it?

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-15T15:10:13.240029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:10:13.240029Z digest=sha256:7b5b4dccbc4ced4587100022f788d5917d41af95c13254236c18ef6634e1d348

Observation 69911a32-ad63-410b-8658-42542f184227 · outbound

This paper cites 2024.Instruct Large Language Models to Drive like Humans.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning 2024.Instruct Large Language Models to Drive like Humans

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:10:14.091431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T15:10:13.244050Z digest=sha256:9b366f0ef72803c04d7a9d92b68b1e6e11dc5cdad90f86408de07ea6434735c7

Observation 9627dfaf-ce87-432f-b033-0f930ea3dc2c · outbound

This paper cites an unresolved cited work.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Unresolved cited work

Reference 55

Resolution
verified exact
doi, observed 2026-08-15T15:10:13.285606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T15:10:13.247796Z digest=sha256:1e490ea709c603f554f3ab0ae69104dcb4dadac356ca2b962598b121a292e6c7

Observation 28a7fe01-cbb5-4b7b-b256-a68cb2097384 · outbound

This paper cites ViewMask-1-to-3: Multi-View Consistent Image Generation via Multimodal Discrete Diffusion Models.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning ViewMask-1-to-3: Multi-View Consistent Image Generation via Multimodal Discrete Diffusion Models

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-15T15:10:13.252046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:10:13.252046Z digest=sha256:c0523379c8cb96af78556687383dbb0814665de41ac7ed389beeb6db6a5809ce

Observation cb58d612-29e8-4734-95b6-a344e8c145b0 · outbound

This paper cites an unresolved cited work.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Unresolved cited work

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-15T15:10:13.035968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:10:13.035968Z digest=sha256:e47a5f59271d0566cb89ca63ec297ceb2fbf7aa5d7dcf537d163a4d2d43fdaee

Observation 0457d425-9d99-435f-97ea-37d3967ac439 · outbound

This paper cites an unresolved cited work.

Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor Learning Unresolved cited work

Reference 2024

Resolution
malformed identifier
no resolver link, observed 2026-08-15T15:10:13.146793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:10:13.146793Z digest=sha256:d0b4e4c8a8dc1cdc5f1621e95dfb638c17c28e24a0c0b18fdb4dba7560d18d4f

Pith citing papers

No inbound Pith citation observations are available.