Paper Citation Record · LEDGER

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation

As of 4 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 1 inbound Pith citation observation for arXiv:2604.19064.

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

pith.paper-citation-record.v1
2604.19064 v1

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T03:07:49.043189Z

measured 62 of 62 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T16:45:48.240156Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

61 of 61 outbound references displayed

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verified fuzzy42
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fdf79d60-a516-4d78-9e0e-1fb40242f0f3 · outbound

This paper cites Lifelong learning: A survey.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation Lifelong learning: A survey

Reference 1

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Observation 0cc7f1f4-5a0e-4d15-83e4-33dd2ea18859 · outbound

This paper cites Learning to reinforcement learn.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation Learning to reinforcement learn

Reference 2

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Observation aba1b1ef-7f19-45c9-8af0-2e4be70e33f1 · outbound

This paper cites Temporal Consistency Learning of Inter-Frames for Video Super-Resolution.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation Temporal Consistency Learning of Inter-Frames for Video Super-Resolution

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:06:55.130681Z

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Observation fb71737c-175f-4c3b-823b-66e21ab211b9 · outbound

This paper cites Multi-Temporal Ultra Dense Memory Network for Video Super-Resolution.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation Multi-Temporal Ultra Dense Memory Network for Video Super-Resolution

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-10T03:08:58.301969Z

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Observation 89660aea-533c-4339-a9bb-830403b15506 · outbound

This paper cites Reliable and Dynamic Appearance Modeling and Label Consistency Enforcing for Fast and Coherent Video Object Segmentation With the Bilateral Grid.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation Reliable and Dynamic Appearance Modeling and Label Consistency Enforcing for Fast and Coherent Video Object Segmentation With the Bilateral Grid

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:06:55.149003Z

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Observation 49275146-109c-4f06-9898-7745dfc0b7e7 · outbound

This paper cites Semi-Supervised Video Object Segmentation via Learning Object-Aware Global-Local Cor- respondence.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation Semi-Supervised Video Object Segmentation via Learning Object-Aware Global-Local Cor- respondence

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-10T03:08:58.299193Z

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Observation 0e6aa87e-b192-4bbd-b1a4-112ac5b0ba6b · outbound

This paper cites Flow-Edge Guided Unsupervised Video Object Segmentation.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation Flow-Edge Guided Unsupervised Video Object Segmentation

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:06:55.133157Z

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Observation 03299e5d-757d-4c84-83b3-1a131c504a76 · outbound

This paper cites Separable Structure Modeling for Semi-Supervised Video Object Segmentation.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation Separable Structure Modeling for Semi-Supervised Video Object Segmentation

Reference 8

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Observation a9dd08e2-e79a-45fb-95d9-a176ce0fd4f5 · outbound

This paper cites View-Action Representation Learning for Active First-Person Vision.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation View-Action Representation Learning for Active First-Person Vision

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-10T03:08:58.293258Z

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Observation 417e5f30-f156-4f65-bcd1-c385afde5e5c · outbound

This paper cites Divide-and- Conquer Completion Network for Video Inpainting.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation Divide-and- Conquer Completion Network for Video Inpainting

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-10T03:08:58.296087Z

Source-reported events for the cited work

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Observation 2cad7619-edd0-47c0-91c7-47768d7ad9b0 · outbound

This paper cites Temporal and Inter-View Consistent Error Concealment Technique for Multiview Plus Depth Video.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation Temporal and Inter-View Consistent Error Concealment Technique for Multiview Plus Depth Video

Reference 11

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Observation d4d53291-80ba-4076-890e-c3f6020ca765 · outbound

This paper cites Temporally Consistent Referring Video Object Segmentation With Hybrid Memory.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation Temporally Consistent Referring Video Object Segmentation With Hybrid Memory

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:06:55.118150Z

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Observation f32ca09a-58d9-4101-96f0-cc0dc052c642 · outbound

This paper cites Vision-and-language navigation: Interpreting visually-grounded navigation instructions in real environments.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation Vision-and-language navigation: Interpreting visually-grounded navigation instructions in real environments

Reference 13

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Observation 01483c3f-e13c-43a4-aba3-f5230ee3dc3b · outbound

This paper cites Chasing Ghosts: Instruction Following as Bayesian State Tracking.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation Chasing Ghosts: Instruction Following as Bayesian State Tracking

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:06:55.112532Z

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Observation 37a6b24f-a705-4b23-9f54-2308a2991507 · outbound

This paper cites Tactical rewind: Self-correction via backtracking in vision- and-language navigation.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation Tactical rewind: Self-correction via backtracking in vision- and-language navigation

Reference 15

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Observation c00c647b-c03b-470c-80d7-214b276c4616 · outbound

This paper cites EvolveNav: Self-Improving Embodied Reasoning for LLM-Based Vision-Language Navigation.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation EvolveNav: Self-Improving Embodied Reasoning for LLM-Based Vision-Language Navigation

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-10T03:08:59.130393Z

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Observation 1e7f6970-7211-42a5-91a1-3008208cee1c · outbound

This paper cites The Role of Predictive Uncertainty and Diversity in Embodied AI and Robot Learning.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation The Role of Predictive Uncertainty and Diversity in Embodied AI and Robot Learning

Reference 17

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Observation 11335f01-550e-4b9b-9521-16d52c882bd8 · outbound

This paper cites System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent Learning.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent Learning

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-10T03:08:59.133051Z

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Observation ea64f084-2a7c-4a3e-a11b-5fbd770cb118 · outbound

This paper cites Reinforced cross-modal matching and self-supervised imitation learning for vision-language navigation.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation Reinforced cross-modal matching and self-supervised imitation learning for vision-language navigation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:06:55.115437Z

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Observation 4dd475d2-f308-46cf-9b80-13b3ccdf3626 · outbound

This paper cites The curse of diversity in ensemble-based exploration.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation The curse of diversity in ensemble-based exploration

Reference 20

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Observation 8c92c141-6b6a-4bfc-b27e-a6c491714077 · outbound

This paper cites Vision-and- Language Navigation: A Survey of Tasks, Methods, and Future Direc- tions.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation Vision-and- Language Navigation: A Survey of Tasks, Methods, and Future Direc- tions

Reference 21

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Observation 8185b583-b141-48ea-844f-23e1c09db5e5 · outbound

This paper cites Vision-Language Navigation: A Survey and Taxonomy.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation Vision-Language Navigation: A Survey and Taxonomy

Reference 22

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Observation 341c5792-4fa9-4f37-8470-16b66a5c8141 · outbound

This paper cites The Regretful Agent: Heuristic-Aided Navigation Through Progress Estimation.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation The Regretful Agent: Heuristic-Aided Navigation Through Progress Estimation

Reference 23

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Observation 4589ca77-926a-4b08-848f-7b279977c7cc · outbound

This paper cites Beyond the nav-graph: Vision-and-language navigation in continuous environments.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation Beyond the nav-graph: Vision-and-language navigation in continuous environments

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:06:55.105770Z

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Observation 3c91664f-cb7c-4e8a-af30-927896c6d472 · outbound

This paper cites Self-Monitoring Navigation Agent via Auxiliary Progress Estimation.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation Self-Monitoring Navigation Agent via Auxiliary Progress Estimation

Reference 25

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Observation a01d03eb-702e-4ca6-9c01-9f5994dbffba · outbound

This paper cites Room-Across- Room: Multilingual vision-and-language navigation with dense spa- tiotemporal grounding.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation Room-Across- Room: Multilingual vision-and-language navigation with dense spa- tiotemporal grounding

Reference 26

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Observation 8fd67e24-1c50-4637-bd2d-45b716162263 · outbound

This paper cites SOON: Scenario oriented object navigation with graph-based exploration.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation SOON: Scenario oriented object navigation with graph-based exploration

Reference 27

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Observation d0372a27-8d99-4860-8e97-ab3a4a8fcc17 · outbound

This paper cites REVERIE: Remote embodied visual referring expression in real indoor environments.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation REVERIE: Remote embodied visual referring expression in real indoor environments

Reference 28

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This paper cites Model-agnostic meta-learning for fast adaptation of deep networks.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation Model-agnostic meta-learning for fast adaptation of deep networks

Reference 29

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Observation e95ba0f7-cff7-438e-a40f-f72761707187 · outbound

This paper cites Continual lifelong learning with neural networks: A review.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation Continual lifelong learning with neural networks: A review

Reference 30

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Observation 2414fda4-66b4-4a73-ac9c-653f03320ae7 · outbound

This paper cites Meta- learning in neural networks: A survey.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation Meta- learning in neural networks: A survey

Reference 31

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Observation decea31e-460f-436b-b7d5-ad0946c1dbbe · outbound

This paper cites A reduction of imitation learning and structured prediction to no-regret online learning.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation A reduction of imitation learning and structured prediction to no-regret online learning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:06:55.084945Z

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Observation a35ad215-92e0-4fe7-9fb0-89dcab111fff · outbound

This paper cites Scheduled sampling for sequence prediction with recurrent neural networks.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation Scheduled sampling for sequence prediction with recurrent neural networks

Reference 33

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Observation 9d5f0629-4a9c-41d1-85c7-20e3b10681a8 · outbound

This paper cites Reinforcement and Imitation Learning via Interactive No-Regret Learning.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation Reinforcement and Imitation Learning via Interactive No-Regret Learning

Reference 34

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Observation 2f2cfb20-4138-40db-bd95-26396071d3cf · outbound

This paper cites Proximal Policy Optimization Algorithms.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation Proximal Policy Optimization Algorithms

Reference 35

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Observation 7a0bacd1-8daf-40f5-99c8-a07cab54d1ca · outbound

This paper cites Deep exploration via bootstrapped DQN.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation Deep exploration via bootstrapped DQN

Reference 36

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Observation 5936cba6-63a6-4088-b5c0-645a3628a6e2 · outbound

This paper cites Parameter space noise for exploration.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation Parameter space noise for exploration

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:06:55.089432Z

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Observation e5b8e76c-2788-49de-97fd-cc22ed297720 · outbound

This paper cites Think Deeply, Act Locally: Memory-Driven Transformers for Vision-and-Language Navigation.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation Think Deeply, Act Locally: Memory-Driven Transformers for Vision-and-Language Navigation

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:06:55.098814Z

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This paper cites Noisy networks for exploration.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation Noisy networks for exploration

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:06:55.128350Z

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Observation c7df4bf3-a47d-4275-95ea-f5c5d0b78d1a · outbound

This paper cites History aware multimodal transformer for vision-and-language navigation.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation History aware multimodal transformer for vision-and-language navigation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:06:55.080115Z

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Observation e76fb92f-457c-47dd-a59c-97e749d51c6a · outbound

This paper cites Hop+: History- enhanced and order-aware pre-training for vision-and-language naviga- tion.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation Hop+: History- enhanced and order-aware pre-training for vision-and-language naviga- tion

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:06:55.074274Z

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Observation e44ed5e8-5018-4bb2-b724-008380038622 · outbound

This paper cites Think global, act local: Dual-scale graph transformer for vision-and-language navigation.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation Think global, act local: Dual-scale graph transformer for vision-and-language navigation

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:06:55.078253Z

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Observation 292d1c9c-3861-450e-a2e8-67c7669daa59 · outbound

This paper cites On Evaluation of Embodied Navigation Agents.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation On Evaluation of Embodied Navigation Agents

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:41:57.449688Z

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Observation 44ab055a-7101-4493-a2c5-569e052a1b3b · outbound

This paper cites Vision-and- language navigation via causal learning.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation Vision-and- language navigation via causal learning

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:06:55.142418Z

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Observation a4857132-bb6b-41f6-94e3-f8ca536a0499 · outbound

This paper cites NavGPT-2: Unleashing navigational reasoning capability for large vision-language models.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation NavGPT-2: Unleashing navigational reasoning capability for large vision-language models

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:06:55.144672Z

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Observation def26a36-7813-4060-aa4e-a1d127b3c654 · outbound

This paper cites Robust Navigation with Language Pretraining and Stochastic Sampling.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation Robust Navigation with Language Pretraining and Stochastic Sampling

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-10T03:08:59.104094Z

Source-reported events for the cited work

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Observation 0b71e9bc-0d60-4d9b-a3c1-fd09e466a176 · outbound

This paper cites Vision-and-Language Navigation: JOURNAL OF LATEX CLASS FILES.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation Vision-and-Language Navigation: JOURNAL OF LATEX CLASS FILES

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:06:55.070573Z

Source-reported events for the cited work

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Observation 24a6f808-b04a-4154-86a3-f3ac6d8c9a84 · outbound

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The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation Speaker-follower models for vision-and-language navigation

Reference 48

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The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation VLn BERT: A recurrent vision-and-language BERT for navigation

Reference 49

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The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation CR- former: Single-image cloud removal with focused Taylor attention

Reference 50

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The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation Event-Equalized Dense Video Captioning

Reference 51

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The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation Semantic-aware representation learning for homography estimation

Reference 52

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This paper cites Mind the gap: Aligning vision foundation models to image feature matching.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation Mind the gap: Aligning vision foundation models to image feature matching

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:06:55.063171Z

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The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation PatchCue: Enhancing Vision-Language Model Reasoning with Patch- Based Visual Cues

Reference 54

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This paper cites Closing the gap between the upper bound and lower bound of Adam’s iteration com- plexity.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation Closing the gap between the upper bound and lower bound of Adam’s iteration com- plexity

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:06:55.057591Z

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This paper cites Recognition Of Surface Defects On Steel Sheet Using Transfer Learning.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation Recognition Of Surface Defects On Steel Sheet Using Transfer Learning

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-10T03:08:59.106787Z

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This paper cites When and Why Momentum Accelerates SGD:An Empirical Study.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation When and Why Momentum Accelerates SGD:An Empirical Study

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-10T03:08:59.117229Z

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The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation Understanding mobile GUI: From pixel-words to screen-sentences

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:06:55.059385Z

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Observation ba88f24d-f8b8-4fc7-bf83-16c9d6ff577b · outbound

This paper cites Breaking through the learning plateaus of in-context learning in Transformer.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation Breaking through the learning plateaus of in-context learning in Transformer

Reference 59

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This paper cites Regnav: Room expert guided image- goal navigation.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation Regnav: Room expert guided image- goal navigation

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:06:55.066891Z

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This paper cites Camera-aware Label Refinement for Unsupervised Person Re-identification.

The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation Camera-aware Label Refinement for Unsupervised Person Re-identification

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-10T03:08:59.119956Z

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Pith citing papers

Observation e8664f74-3fe9-405a-9d9d-e2cc273a3d56 · inbound

Overcoming the Weakest-Link Effect in LLM-Driven Program Optimization via Heterogeneous Edit Recombination cites this paper.

Overcoming the Weakest-Link Effect in LLM-Driven Program Optimization via Heterogeneous Edit Recombination The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation

Reference 17

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