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Paper Citation Record · LEDGER

Aesthetic Image Captioning with Saliency Enhanced MLLMs

As of 15 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2509.04378.

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

pith.paper-citation-record.v1
2509.04378 v3

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:15:50.308478Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

46 of 46 outbound references displayed

  • verified exact22
  • verified fuzzy8
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6f11d397-4e42-49ab-95f9-492a20b517cc · outbound

This paper cites A model of aesthetic appreciationandaestheticjudgments,.

Aesthetic Image Captioning with Saliency Enhanced MLLMs A model of aesthetic appreciationandaestheticjudgments,

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5e9b9129-4b57-4aae-9b67-5b3d269be6ab · outbound

This paper cites Prospectsforacognitiveneuroscienceofvisualaesthetics,.

Aesthetic Image Captioning with Saliency Enhanced MLLMs Prospectsforacognitiveneuroscienceofvisualaesthetics,

Reference 2

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doi, observed 2026-08-05T10:15:50.415002Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation aa2495ca-a659-4b13-a117-07f58717b411 · outbound

This paper cites Comment-guided semantics-awareimageaestheticsassessment,.

Aesthetic Image Captioning with Saliency Enhanced MLLMs Comment-guided semantics-awareimageaestheticsassessment,

Reference 3

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raw_fallback, observed 2026-08-05T10:15:54.700905Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation a1b23c3b-0495-43b3-bb10-468f20e8cdbf · outbound

This paper cites Confidence-based dynamic cross-modal memory network for image aesthetic assessment,.

Aesthetic Image Captioning with Saliency Enhanced MLLMs Confidence-based dynamic cross-modal memory network for image aesthetic assessment,

Reference 5

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raw_fallback, observed 2026-08-05T10:15:54.575311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation dfc814f8-c62b-4cb5-a246-fece044839ed · outbound

This paper cites Aesclip: Multi-attribute contrastive learning for image aesthetics assessment,.

Aesthetic Image Captioning with Saliency Enhanced MLLMs Aesclip: Multi-attribute contrastive learning for image aesthetics assessment,

Reference 6

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Unavailable: canonical work link unavailable.

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Observation c5046b7c-fc8b-42a7-a329-d100ed516484 · outbound

This paper cites Image aesthetics assessment with attribute-assisted multimodal memory network,.

Aesthetic Image Captioning with Saliency Enhanced MLLMs Image aesthetics assessment with attribute-assisted multimodal memory network,

Reference 7

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arxiv_id_nonexistent, observed 2026-08-05T10:15:54.419039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation af503ce6-6cdb-46a9-acf1-0d76a0eace6b · outbound

This paper cites Enriched Image Captioning based on Knowledge Divergence and Focus,.

Aesthetic Image Captioning with Saliency Enhanced MLLMs Enriched Image Captioning based on Knowledge Divergence and Focus,

Reference 8

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arxiv_id_nonexistent, observed 2026-08-05T10:15:54.242750Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation edff4110-ea54-4803-91ac-138a3e6a5012 · outbound

This paper cites Aesthetic image captioning from weakly-labelled photographs,.

Aesthetic Image Captioning with Saliency Enhanced MLLMs Aesthetic image captioning from weakly-labelled photographs,

Reference 9

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arxiv_id_nonexistent, observed 2026-08-05T10:15:53.931430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:15:50.146074Z digest=sha256:b854e82524d8c22f497e48349a7889a9cb811a5a99fa9b8dbd50183f5a94d1b4

Observation 7de4e57f-187d-4c94-a2fa-3380edaa902b · outbound

This paper cites Generating aesthetic based critique for photographs,.

Aesthetic Image Captioning with Saliency Enhanced MLLMs Generating aesthetic based critique for photographs,

Reference 10

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arxiv_id_nonexistent, observed 2026-08-05T10:15:53.761312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:15:50.150286Z digest=sha256:b7bdaf97382a984657a9dc6a5bf0ac97f3cec2a58d4ed1c96e171488b42d68d9

Observation 983ba80a-6ef3-425a-a67e-a8ce5fdd4a7f · outbound

This paper cites UNIAA: A Unified Multi-modal Image Aesthetic Assessment Baseline and Benchmark.

Aesthetic Image Captioning with Saliency Enhanced MLLMs UNIAA: A Unified Multi-modal Image Aesthetic Assessment Baseline and Benchmark

Reference 11

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Observation f0651570-d054-48a1-b57a-895d12acddbd · outbound

This paper cites Studyon the Image Aesthetic Assessment Based on Saliency and Attention,.

Aesthetic Image Captioning with Saliency Enhanced MLLMs Studyon the Image Aesthetic Assessment Based on Saliency and Attention,

Reference 12

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raw_fallback, observed 2026-08-05T10:15:54.831787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 177129bc-0531-4aa3-9604-7c97d7f39b1b · outbound

This paper cites Eat: An enhancer for aesthetics-oriented transformers,.

Aesthetic Image Captioning with Saliency Enhanced MLLMs Eat: An enhancer for aesthetics-oriented transformers,

Reference 13

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 8d88295b-f7d6-46e7-b826-4963ca5558df · outbound

This paper cites Multi-Modality Multi-Attribute Contrastive Pre-Training for Image Aesthetics Computing,.

Aesthetic Image Captioning with Saliency Enhanced MLLMs Multi-Modality Multi-Attribute Contrastive Pre-Training for Image Aesthetics Computing,

Reference 14

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation e898eb77-c809-420a-b88f-2f6530d5b01d · outbound

This paper cites Aesthetic critiques generation for photos,.

Aesthetic Image Captioning with Saliency Enhanced MLLMs Aesthetic critiques generation for photos,

Reference 15

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source=pdf_text observed=2026-08-05T10:15:50.171559Z digest=sha256:1c08051a07255784577d80f9c0f15c7fe991c6eb54b977aed2f6548d6e5f7b62

Observation 0cf81da5-bbe3-484d-8ae7-3d72392ec80a · outbound

This paper cites Neural aesthetic image reviewer,.

Aesthetic Image Captioning with Saliency Enhanced MLLMs Neural aesthetic image reviewer,

Reference 16

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arxiv_id_nonexistent, observed 2026-08-05T10:15:52.967030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:15:50.175687Z digest=sha256:0df4585e239b7df3a7652b947f29416d3bbb4f0f3656a23913ebe06992e1a4fc

Observation 0be009b3-4e2e-4000-9190-cdf3aaf1e701 · outbound

This paper cites Latent dirichlet allocation,.

Aesthetic Image Captioning with Saliency Enhanced MLLMs Latent dirichlet allocation,

Reference 17

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verified fuzzy
raw_fallback, observed 2026-08-05T10:15:54.817454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:15:50.179930Z digest=sha256:741b9372f2f46c3d29d8260aa343e338e50bfb3331e715f6689ceffd5504e0d5

Observation 2033a8ee-6b0b-4c0b-8be1-59e90cf2d985 · outbound

This paper cites Aesthetic Attributes Assessment of Images,.

Aesthetic Image Captioning with Saliency Enhanced MLLMs Aesthetic Attributes Assessment of Images,

Reference 18

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arxiv_id_nonexistent, observed 2026-08-05T10:15:52.749788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation d413741d-c9f9-40ea-a8f8-e61fdbbfa0d7 · outbound

This paper cites Towards personalized aesthetic image caption,.

Aesthetic Image Captioning with Saliency Enhanced MLLMs Towards personalized aesthetic image caption,

Reference 19

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arxiv_id_nonexistent, observed 2026-08-05T10:15:52.542569Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation a5fe8234-6e7b-4c1d-9dba-0f7f394a62ff · outbound

This paper cites Understanding aesthetics with language: A photo critique dataset for aesthetic assessment,.

Aesthetic Image Captioning with Saliency Enhanced MLLMs Understanding aesthetics with language: A photo critique dataset for aesthetic assessment,

Reference 20

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arxiv_id_nonexistent, observed 2026-08-05T10:15:52.353366Z

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Observation 5112d0de-53cd-4969-9089-3a4d41121a0c · outbound

This paper cites Aesexpert: Towards multi-modality foundation model for image aesthetics perception,.

Aesthetic Image Captioning with Saliency Enhanced MLLMs Aesexpert: Towards multi-modality foundation model for image aesthetics perception,

Reference 30

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arxiv_id_nonexistent, observed 2026-08-05T10:15:52.154196Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation b17190f5-f994-4969-b1cc-13bd0668cd91 · outbound

This paper cites Saliency-enhanced image aesthetics class prediction,.

Aesthetic Image Captioning with Saliency Enhanced MLLMs Saliency-enhanced image aesthetics class prediction,

Reference 31

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arxiv_id_nonexistent, observed 2026-08-05T10:15:51.999098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation b36771c3-7a0c-4686-9a30-a4fde45023e3 · outbound

This paper cites Research on Image Aesthetic Evaluation using Image Scene and Saliency Information,.

Aesthetic Image Captioning with Saliency Enhanced MLLMs Research on Image Aesthetic Evaluation using Image Scene and Saliency Information,

Reference 32

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 15b830e8-0db4-48f3-b9b0-4617787b8936 · outbound

This paper cites Research on image quality assessment and improvement algorithm based on aesthetics,.

Aesthetic Image Captioning with Saliency Enhanced MLLMs Research on image quality assessment and improvement algorithm based on aesthetics,

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 7e62b708-cc44-4d22-b0c2-c0cdf586e280 · outbound

This paper cites Imageaestheticsassessment based on multi-stream CNN architecture and saliency features,.

Aesthetic Image Captioning with Saliency Enhanced MLLMs Imageaestheticsassessment based on multi-stream CNN architecture and saliency features,

Reference 34

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arxiv_id_nonexistent, observed 2026-08-05T10:15:51.820763Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f87e9ba4-8e15-4375-bf0a-f79379a9b89f · outbound

This paper cites Co-salient object detectionwithco-representationpurification,.

Aesthetic Image Captioning with Saliency Enhanced MLLMs Co-salient object detectionwithco-representationpurification,

Reference 35

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arxiv_id_nonexistent, observed 2026-08-05T10:15:51.622802Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:15:50.218024Z digest=sha256:95d0574d6cbe1e1e1393f5eb541751027e1fdcee22298a848ce55a31d1133d68

Observation e1ac556f-088c-4b9e-9fc0-fa60b5e5f8cf · outbound

This paper cites Associating inter-image salient instances for weakly supervised semantic segmentation,.

Aesthetic Image Captioning with Saliency Enhanced MLLMs Associating inter-image salient instances for weakly supervised semantic segmentation,

Reference 36

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doi, observed 2026-08-05T10:15:50.392512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 0cb6c15e-8831-4993-bce9-f71d70e7a4ab · outbound

This paper cites Texture-guidedsaliency distillingfor unsupervisedsalientobjectdetection,.

Aesthetic Image Captioning with Saliency Enhanced MLLMs Texture-guidedsaliency distillingfor unsupervisedsalientobjectdetection,

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:15:50.226237Z digest=sha256:fdfe5b5fe3988241b130fa72c5179d6f7ff0b0a088edfb4701995fa6e6e38f3d

Observation 51f568d5-315a-4e29-a447-415ce2c8273c · outbound

This paper cites Human detection using a mobile platform and novel features derived from a visual saliency mechanism,.

Aesthetic Image Captioning with Saliency Enhanced MLLMs Human detection using a mobile platform and novel features derived from a visual saliency mechanism,

Reference 38

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doi, observed 2026-08-05T10:15:50.377998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:15:50.230538Z digest=sha256:41b4e9eea513826892c84ad1f6943f47b25ee8896d251f560374212fbd4c1c30

Observation 07a8bc35-86bd-40f9-8883-dc8755b5c61c · outbound

This paper cites Rethinking Image AestheticsAssessment:Models,DatasetsandBenchmarks,.

Aesthetic Image Captioning with Saliency Enhanced MLLMs Rethinking Image AestheticsAssessment:Models,DatasetsandBenchmarks,

Reference 39

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:15:50.235093Z digest=sha256:8da7b8e1f44d93a95ed87122b68a4355dbe895e484d3cce84082c59300321d53

Observation 93ee8013-6225-4958-9218-d895a46981e5 · outbound

This paper cites ‘Special Relativity’ of Image Aesthetics Assessment: a Preliminary Empirical Perspective,.

Aesthetic Image Captioning with Saliency Enhanced MLLMs ‘Special Relativity’ of Image Aesthetics Assessment: a Preliminary Empirical Perspective,

Reference 40

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arxiv_id_nonexistent, observed 2026-08-05T10:15:51.356940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:15:50.239250Z digest=sha256:9cb49a855353c4a63bbbca89aaef00d0a8204407d545af2c8bf71f4372eb920c

Observation 4e5b42c3-1eff-4485-8534-549d3254f274 · outbound

This paper cites How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites.

Aesthetic Image Captioning with Saliency Enhanced MLLMs How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites

Reference 41

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no resolver link, observed 2026-08-05T10:15:50.243414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:15:50.243414Z digest=sha256:dd6bc57951d78d3f586f62af66c2c027018da443b188ea89dad195a2e4c49975

Observation a0207f54-105a-452c-8826-2e21c06192cd · outbound

This paper cites an unresolved cited work.

Aesthetic Image Captioning with Saliency Enhanced MLLMs Unresolved cited work

Reference 42

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raw_fallback, observed 2026-08-05T10:15:54.771981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:15:50.248063Z digest=sha256:c38caa01698b9c6b7f1d9b323016a86e8bd2661a77ce0ec5e5640f8e26780804

Observation f14f4882-d36e-4e59-aea2-dcf53c76e976 · outbound

This paper cites InternLM2 Technical Report.

Aesthetic Image Captioning with Saliency Enhanced MLLMs InternLM2 Technical Report

Reference 43

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:15:50.252054Z digest=sha256:4c0950604c596594760bd12abbc6efff67bf351ae9ad903d3fc58915d96f9e7f

Observation 9e9a5f02-9040-4a22-96e3-4f73bf33597d · outbound

This paper cites Layercam: Exploring hierarchical class activation maps for localization,.

Aesthetic Image Captioning with Saliency Enhanced MLLMs Layercam: Exploring hierarchical class activation maps for localization,

Reference 44

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arxiv_id_nonexistent, observed 2026-08-05T10:15:51.149303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:15:50.256832Z digest=sha256:f19c74d0bd1326150a82ead00f952282c0d71cf1791e38d51c86bd659a8c4eea

Observation 378f623b-3cb7-441f-a5a5-92615f60a3f9 · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation,.

Aesthetic Image Captioning with Saliency Enhanced MLLMs Bleu: a method for automatic evaluation of machine translation,

Reference 45

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arxiv_id_nonexistent, observed 2026-08-05T10:15:50.976914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:15:50.260812Z digest=sha256:539a8d4090a36d674cb540e6126257f607b79a65db450779605c6b10dc8e3711

Observation b842ae43-fce6-474b-98e0-49c11cde3333 · outbound

This paper cites Rouge: A package for automatic evaluation of summaries,.

Aesthetic Image Captioning with Saliency Enhanced MLLMs Rouge: A package for automatic evaluation of summaries,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:15:54.757754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:15:50.265074Z digest=sha256:bc2133b49b08d9f95b2d124912707e5e35efdce33e69bbc7512530e90bb2c6f0

Observation 53beb283-050a-423d-adf2-fb476ca875a0 · outbound

This paper cites METEOR: An automatic metric for MT evaluation with improved correlation with human judgments,.

Aesthetic Image Captioning with Saliency Enhanced MLLMs METEOR: An automatic metric for MT evaluation with improved correlation with human judgments,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:15:54.743961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:15:50.269256Z digest=sha256:a470b291d71ed3312cf17d025d103b24e98cde945a5ba941fd2e7855dc908ed8

Observation 72945644-bc34-4efa-a7d8-9508602fe0ae · outbound

This paper cites Cider: Consensus-based imagedescriptionevaluation,.

Aesthetic Image Captioning with Saliency Enhanced MLLMs Cider: Consensus-based imagedescriptionevaluation,

Reference 48

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-05T10:15:50.804643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:15:50.273484Z digest=sha256:237f3447ec2263f88febbcd4321ba021359ca664586cdd765a58d06df0e3aac8

Observation 04c925cf-71f6-484e-9e63-028be0ae81ef · outbound

This paper cites Spice: Semantic propositional image caption evaluation,.

Aesthetic Image Captioning with Saliency Enhanced MLLMs Spice: Semantic propositional image caption evaluation,

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-05T10:15:50.277593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:15:50.277593Z digest=sha256:93007028194e4ffddb210587928a42c4c19919c4d2df068c5bec8fa74e3ac2de

Observation d278ab02-5f3e-467d-8b7e-ffa54c9f4d57 · outbound

This paper cites [Online].

Aesthetic Image Captioning with Saliency Enhanced MLLMs [Online]

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:15:54.729336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:15:50.281787Z digest=sha256:4d5c7182a3732e1506859f8f68bef689cde4c1012cd2f2d968a8fa887ceeacf2

Observation 6a81dc45-306c-4d5a-9d07-c195f26cfae1 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

Aesthetic Image Captioning with Saliency Enhanced MLLMs Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-05T10:15:50.285815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:15:50.285815Z digest=sha256:9c576837e946351d557f39cc47104269592986db1195d8576f6d15132bc99392

Observation 0ac92598-d328-4961-9832-cf950c168724 · outbound

This paper cites The Llama 3 Herd of Models.

Aesthetic Image Captioning with Saliency Enhanced MLLMs The Llama 3 Herd of Models

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-05T10:15:50.290461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:15:50.290461Z digest=sha256:a19427a9a82d62305574119793069ce4a872d47057464cb94cabedb09aad0025

Observation 9302a986-4fef-4103-a691-a55c9e1c126c · outbound

This paper cites Improved Baselines with Visual InstructionTuning,.

Aesthetic Image Captioning with Saliency Enhanced MLLMs Improved Baselines with Visual InstructionTuning,

Reference 53

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-05T10:15:50.615011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:15:50.294993Z digest=sha256:c3790bca4a9ecd636d602d53cd90e63f32be1c125195a3f7dd53b0c67cdbe9e3

Observation 0913bc48-a0bf-460e-a289-d19558f33f32 · outbound

This paper cites mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models.

Aesthetic Image Captioning with Saliency Enhanced MLLMs mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-05T10:15:50.299374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:15:50.299374Z digest=sha256:d79f1470d9c5b6e74c694f2b28368f8de61c1307d28644ef971bb5761f7275a7

Observation f9d83025-6180-41d2-896d-ad21f1ed39d8 · outbound

This paper cites Microsoft COCO Captions: Data Collection and Evaluation Server.

Aesthetic Image Captioning with Saliency Enhanced MLLMs Microsoft COCO Captions: Data Collection and Evaluation Server

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-05T10:15:50.303995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:15:50.303995Z digest=sha256:3bc4a8b864e47394566156f31e0f8aa1f52c22c54eed5f68a2044e5bec773ad0

Observation 6062d0bf-4da3-4113-84d4-ed2aef6d3676 · outbound

This paper cites Show and tell: A neural image caption generator,.

Aesthetic Image Captioning with Saliency Enhanced MLLMs Show and tell: A neural image caption generator,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:15:54.714965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T10:15:50.308478Z digest=sha256:a0b734328f14ed3ac75c9c8a9719230220ec5256e0fc71d885163aff25bb3e6e

Pith citing papers

No inbound Pith citation observations are available.