Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T15:39:17.229872Z
Paper Citation Record · LEDGER
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization
As of 5 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2604.10721.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
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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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation a9bdc644-6d89-4ddc-b444-4432c8f91b75 · outbound
This paper cites Phi-4 Technical Report.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Phi-4 Technical Report
Reference 1
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 58c4810e-ec5d-4931-bbd7-41a215e98f90 · outbound
This paper cites GPT-4 Technical Report.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization GPT-4 Technical Report
Reference 2
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0926454b-3ddc-4ab2-8954-5f1cd00f3a4a · outbound
This paper cites Vision-and-language navigation: In- terpreting visually-grounded navigation instructions in real environments.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Vision-and-language navigation: In- terpreting visually-grounded navigation instructions in real environments
Reference 3
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8bf7281f-3a4d-44d2-8a6f-a811aba68607 · outbound
This paper cites Cross-view meets diffusion: Aerial im- age synthesis with geometry and text guidance.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Cross-view meets diffusion: Aerial im- age synthesis with geometry and text guidance
Reference 4
- Resolution
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Source-reported events for the cited work
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Observation 1d95bd3d-6d53-462d-ac25-43bdb82aacc6 · outbound
This paper cites LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
Reference 5
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation db9cee2a-cf70-432a-8c1d-986b9cbc12b4 · outbound
This paper cites Ground-to-aerial image geo-localization with a hard exemplar reweighting triplet loss.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Ground-to-aerial image geo-localization with a hard exemplar reweighting triplet loss
Reference 6
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2e6d8a88-e612-4a8c-b338-11d59d9bf0c4 · outbound
This paper cites End-to- end object detection with transformers.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization End-to- end object detection with transformers
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:30:10.871007Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 96e4ba77-2fb2-42e7-a42d-b274cd70c517 · outbound
This paper cites A simple framework for contrastive learning of visual representations.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization A simple framework for contrastive learning of visual representations
Reference 8
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 79fffef6-e69f-4b3b-bcff-d9d8a9fb97d6 · outbound
This paper cites Uniter: Universal image-text representation learning.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Uniter: Universal image-text representation learning
Reference 9
- Resolution
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- raw_fallback, observed 2026-05-17T19:30:10.879541Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0176d87a-d831-4b34-8df7-7bed01c48fb7 · outbound
This paper cites Towards natural language-guided drones: Geotext-1652 benchmark with spatial relation matching.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Towards natural language-guided drones: Geotext-1652 benchmark with spatial relation matching
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:30:10.892489Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 72bca8c7-2915-4eac-99de-947727dee97b · outbound
This paper cites Sam- ple4geo: Hard negative sampling for cross-view geo- localisation.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Sam- ple4geo: Hard negative sampling for cross-view geo- localisation
Reference 11
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation aebc0807-66f0-43f9-a787-bc8470014046 · outbound
This paper cites An empirical study of training end-to-end vision-and-language transformers.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization An empirical study of training end-to-end vision-and-language transformers
Reference 12
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation a1f6b41e-f0bc-4413-9e21-d19700714837 · outbound
This paper cites SimCSE: Simple Contrastive Learning of Sentence Embeddings.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization SimCSE: Simple Contrastive Learning of Sentence Embeddings
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T07:48:23.738089Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation fbba1b2c-278b-4e3a-aaf6-1041f7aafe93 · outbound
This paper cites Skysense: A multi-modal remote sens- ing foundation model towards universal interpretation for earth observation imagery.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Skysense: A multi-modal remote sens- ing foundation model towards universal interpretation for earth observation imagery
Reference 14
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ea5c2677-31b9-460b-abf0-78f7a044a282 · outbound
This paper cites Lora: Low-rank adaptation of large language models.ICLR, 1(2):3.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Lora: Low-rank adaptation of large language models.ICLR, 1(2):3
Reference 15
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 806b1ad1-5c8b-4d0a-b1a4-90c8271e8821 · outbound
This paper cites Cvm-net: Cross-view matching network for image- based ground-to-aerial geo-localization.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Cvm-net: Cross-view matching network for image- based ground-to-aerial geo-localization
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:30:10.855540Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1b7bcdb3-3508-474e-b609-30cbbcfd138f · outbound
This paper cites Llm2clip: Powerful language model unlock richer visual representation.arXiv preprint arXiv:2411.04997.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Llm2clip: Powerful language model unlock richer visual representation.arXiv preprint arXiv:2411.04997
Reference 17
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 30baefd4-4190-4a6a-ac33-3b71ddb4b5fc · outbound
This paper cites Perceiver io: A general architecture for structured inputs & outputs.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Perceiver io: A general architecture for structured inputs & outputs
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:30:10.850110Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1e1a664b-3957-4cea-9d5a-f04e26296ff4 · outbound
This paper cites Vlm2vec: Training vision-language models for massive multimodal embedding tasks.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Vlm2vec: Training vision-language models for massive multimodal embedding tasks
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:30:10.794618Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4f257d07-96d8-4847-b397-1dba4e768e66 · outbound
This paper cites Adaptive latent diffusion model for 3d medical image to image translation: Multi- modal magnetic resonance imaging study.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Adaptive latent diffusion model for 3d medical image to image translation: Multi- modal magnetic resonance imaging study
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:30:10.791415Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation cf5e291e-01f4-4f18-9d1f-1b56f7e49ca1 · outbound
This paper cites Vilt: Vision- and-language transformer without convolution or region su- pervision.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Vilt: Vision- and-language transformer without convolution or region su- pervision
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:30:10.844184Z
Source-reported events for the cited work
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Observation f86c3c47-9acb-4dae-b770-2f764405f7b6 · outbound
This paper cites Multi- modal data-efficient 3d scene understanding for autonomous driving.IEEE Transactions on Pattern Analysis and Machine Intelligence.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Multi- modal data-efficient 3d scene understanding for autonomous driving.IEEE Transactions on Pattern Analysis and Machine Intelligence
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:30:10.847140Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6fe628fc-1c29-4371-8f1b-992d24d40711 · outbound
This paper cites Align before fuse: Vision and language representation learn- ing with momentum distillation.Advances in neural infor- mation processing systems, 34:9694–9705.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Align before fuse: Vision and language representation learn- ing with momentum distillation.Advances in neural infor- mation processing systems, 34:9694–9705
Reference 23
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation dcaf2212-d393-4b30-8575-59120121086c · outbound
This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:30:10.867668Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7f773f39-253c-463b-9752-157b2db5f67a · outbound
This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:30:10.835238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 13ac5c34-8a8f-4d67-b03e-e2dceb445798 · outbound
This paper cites Exploring How Generative MLLMs Perceive More Than CLIP with the Same Vision Encoder.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Exploring How Generative MLLMs Perceive More Than CLIP with the Same Vision Encoder
Reference 26
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T10:06:03.125221Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 660e612c-824f-440c-b605-90f21c299fd4 · outbound
This paper cites Cross-view image geolocalization.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Cross-view image geolocalization
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:30:10.838274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4de0be30-099f-46e8-8ef3-cc78178eff8d · outbound
This paper cites Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916
Reference 28
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 547df760-e92e-4d22-aadb-c9ee28aea54e · outbound
This paper cites Lending orientation to neural networks for cross-view geo-localization.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Lending orientation to neural networks for cross-view geo-localization
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:30:10.907518Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f97c42fd-d0ac-442f-9219-061b4b0f42bc · outbound
This paper cites Delving into multi-modal multi-task foun- dation models for road scene understanding: From learning paradigm perspectives.IEEE Transactions on Intelligent Ve- hicles.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Delving into multi-modal multi-task foun- dation models for road scene understanding: From learning paradigm perspectives.IEEE Transactions on Intelligent Ve- hicles
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:30:10.822243Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation bf5d5300-f2f7-4088-a80f-820020dbe578 · outbound
This paper cites SmolVLM: Redefining small and efficient multimodal models.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization SmolVLM: Redefining small and efficient multimodal models
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T20:23:51.804797Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7ab15c9b-991f-40d3-8155-23cb3dbd2f4f · outbound
This paper cites In defense of dual-encoders for neural ranking.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization In defense of dual-encoders for neural ranking
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:30:10.828436Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 198a5989-459b-4fe9-93e9-f6a7de73db78 · outbound
This paper cites Representation Learning with Contrastive Predictive Coding.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Representation Learning with Contrastive Predictive Coding
Reference 33
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T10:06:03.094262Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1bef32d1-59fb-4554-bae2-964262726431 · outbound
This paper cites Training language models to follow instructions with human feedback.Ad- vances in neural information processing systems, 35:27730– 27744.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Training language models to follow instructions with human feedback.Ad- vances in neural information processing systems, 35:27730– 27744
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:30:10.818883Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 68229d8d-e24b-4513-805c-b9d78f5dc78e · outbound
This paper cites Learning transferable visual models from natural language supervi- sion.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Learning transferable visual models from natural language supervi- sion
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:30:10.921666Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a43f8fce-ba9c-4497-808f-b41ee9b78c9c · outbound
This paper cites Cross-view image synthesis using conditional gans.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Cross-view image synthesis using conditional gans
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:30:10.812052Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6cd44da2-16a8-4616-99a0-aabbb97e62bc · outbound
This paper cites Multi- modal vision pre-training for medical image analysis.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Multi- modal vision pre-training for medical image analysis
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:30:10.815525Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation eea14c1a-80f8-4553-b7e5-5a8da5896006 · outbound
This paper cites Toolformer: Lan- guage models can teach themselves to use tools.Advances in Neural Information Processing Systems, 36:68539–68551.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Toolformer: Lan- guage models can teach themselves to use tools.Advances in Neural Information Processing Systems, 36:68539–68551
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:30:10.831959Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2015a3b4-c445-4e5e-9c86-15ea364112d4 · outbound
This paper cites Spatial- aware feature aggregation for image based cross-view geo- localization.Advances in Neural Information Processing Systems, 32.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Spatial- aware feature aggregation for image based cross-view geo- localization.Advances in Neural Information Processing Systems, 32
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:30:10.841392Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 164ae84f-a7da-4211-ad61-f88ae0659f26 · outbound
This paper cites Optimal feature transport for cross-view image geo- localization.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Optimal feature transport for cross-view image geo- localization
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:30:10.852865Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a98338c8-6ea8-4977-88cf-361a9dc2b3e2 · outbound
This paper cites Gemini: A Family of Highly Capable Multimodal Models.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Gemini: A Family of Highly Capable Multimodal Models
Reference 41
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T10:06:03.087498Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c33741d6-c638-41c4-9229-84ac3a8dec2a · outbound
This paper cites Attention is all you need.Advances in neural information processing systems, 30.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Attention is all you need.Advances in neural information processing systems, 30
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:30:10.889461Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 42b1840e-9d3c-4386-b0e7-af67e2b51ee1 · outbound
This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
Reference 43
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T10:06:03.068874Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1fc1c867-a1dd-4fab-a466-0cb8a3bb4141 · outbound
This paper cites InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
Reference 44
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T10:06:03.102161Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3e5070c8-a9d0-4c2d-9062-e96810655f7e · outbound
This paper cites Image and object geo-localization.International Journal of Computer Vision, 132(4):1350–1392.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Image and object geo-localization.International Journal of Computer Vision, 132(4):1350–1392
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:30:10.806187Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation aaebdf15-94e8-42dd-80f4-0b2878d9ee40 · outbound
This paper cites Wide-area image geolocalization with aerial reference im- agery.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Wide-area image geolocalization with aerial reference im- agery
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:30:10.918202Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 62c6e12e-80e3-436c-a22b-0f5bc5a0d520 · outbound
This paper cites A semantic-enhanced multi-modal remote sens- ing foundation model for earth observation.Nature Machine Intelligence, pages 1–15.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization A semantic-enhanced multi-modal remote sens- ing foundation model for earth observation.Nature Machine Intelligence, pages 1–15
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:30:10.911101Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 509df574-1fa4-4c7a-88dc-1dfbe99033de · outbound
This paper cites Cross-view panorama image synthesis.IEEE Transactions on Multimedia, 25: 3546–3559.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Cross-view panorama image synthesis.IEEE Transactions on Multimedia, 25: 3546–3559
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:30:10.809078Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ec7bd879-6696-495f-b311-be91c2c1bb44 · outbound
This paper cites Cross-view geo-localization with layer-to-layer transformer.Advances in Neural Information Processing Systems, 34:29009–29020.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Cross-view geo-localization with layer-to-layer transformer.Advances in Neural Information Processing Systems, 34:29009–29020
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:30:10.797761Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0f65dcb1-f372-4242-9cb2-d7a1dd9ba1ce · outbound
This paper cites Cross-view image geo- localization with panorama-bev co-retrieval network.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Cross-view image geo- localization with panorama-bev co-retrieval network
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:30:10.800578Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b6da84ac-ff7d-4c7f-b16c-f61498751b53 · outbound
This paper cites Where am i? cross-view geo-localization with natural language descrip- tions.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Where am i? cross-view geo-localization with natural language descrip- tions
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:30:10.803510Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c10329b8-9170-4f21-bdbf-22f4bf68703b · outbound
This paper cites Multi-grained vi- sion language pre-training: Aligning texts with visual con- cepts.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Multi-grained vi- sion language pre-training: Aligning texts with visual con- cepts
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:30:10.914540Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e86013c2-133b-4adb-83bd-e2e6e0c52c70 · outbound
This paper cites Sigmoid loss for language image pre-training.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Sigmoid loss for language image pre-training
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:30:10.785094Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0cadc3b4-1c7a-4a20-adfb-b0b810c48d0b · outbound
This paper cites Cross-view geo-localization via learning disentangled geometric layout correspondence.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Cross-view geo-localization via learning disentangled geometric layout correspondence
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:30:10.788286Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3e971db1-650e-4db2-a25e-5bac26180ba5 · outbound
This paper cites Cross- view image sequence geo-localization.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Cross- view image sequence geo-localization
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:30:10.778170Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1033dea7-729c-45b1-bbe6-97fec9b30bb5 · outbound
This paper cites Geodtr+: Toward generic cross-view ge- olocalization via geometric disentanglement.IEEE Trans- actions on Pattern Analysis and Machine Intelligence.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Geodtr+: Toward generic cross-view ge- olocalization via geometric disentanglement.IEEE Trans- actions on Pattern Analysis and Machine Intelligence
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:30:10.904271Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3980a872-6fa9-4135-bc5b-e0048f1f15ed · outbound
This paper cites Vici: Vlm-instructed cross-view image-localisation.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Vici: Vlm-instructed cross-view image-localisation
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:30:10.774946Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3e47ac36-6c49-4238-812d-c918c76cddb1 · outbound
This paper cites University- 1652: A multi-view multi-source benchmark for drone- based geo-localization.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization University- 1652: A multi-view multi-source benchmark for drone- based geo-localization
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:30:10.781740Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5aa9a884-8122-4486-b5e2-d5420d0a2125 · outbound
This paper cites Vigor: Cross- view image geo-localization beyond one-to-one retrieval.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Vigor: Cross- view image geo-localization beyond one-to-one retrieval
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:30:10.896304Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation dc273044-65d1-408a-b528-d38527474df2 · outbound
This paper cites Transgeo: Trans- former is all you need for cross-view image geo-localization.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Transgeo: Trans- former is all you need for cross-view image geo-localization
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:30:10.771439Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation aff193ed-4a57-47eb-88ca-aae43219a3c2 · outbound
This paper cites Simple, Effective and General: A New Backbone for Cross-view Image Geo-localization.
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization Simple, Effective and General: A New Backbone for Cross-view Image Geo-localization
Reference 61
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:06:03.110441Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Pith citing papers
No inbound Pith citation observations are available.