Paper Citation Record · LEDGER

PIG-Nav: Key Insights for Pretrained Image Goal Navigation Models

As of 22 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2507.17220.

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

pith.paper-citation-record.v1
2507.17220 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:59:06.066020Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

17 of 17 outbound references displayed

verified exact0
verified fuzzy6
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 185c3829-14f1-4e6c-aa58-9b38782fd90b · outbound

This paper cites Hm3d-ovon: A dataset and benchmark for open-vocabulary object goal navigation.

PIG-Nav: Key Insights for Pretrained Image Goal Navigation Models Hm3d-ovon: A dataset and benchmark for open-vocabulary object goal navigation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:07.955883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6a320676-e184-445f-b6f9-8d2711be79a5 · outbound

This paper cites OVRL-V2: A simple state-of-art baseline for ImageNav and ObjectNav.

PIG-Nav: Key Insights for Pretrained Image Goal Navigation Models OVRL-V2: A simple state-of-art baseline for ImageNav and ObjectNav

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T14:59:04.161706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f91de8a-aaa7-4bac-8fcb-b646c6ec9952 · outbound

This paper cites Target-driven visual navigation in indoor scenes using deep reinforcement learning.

PIG-Nav: Key Insights for Pretrained Image Goal Navigation Models Target-driven visual navigation in indoor scenes using deep reinforcement learning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:07.580122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6a254477-2807-4d5b-b775-85e8252675dd · outbound

This paper cites Affordances-Oriented Planning using Foundation Models for Continuous Vision-Language Navigation.

PIG-Nav: Key Insights for Pretrained Image Goal Navigation Models Affordances-Oriented Planning using Foundation Models for Continuous Vision-Language Navigation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T14:59:04.669430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e31c6bf9-64e2-4f0e-88ac-8c15ed9be742 · outbound

This paper cites The pitfalls of next-token prediction.

PIG-Nav: Key Insights for Pretrained Image Goal Navigation Models The pitfalls of next-token prediction

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T14:59:05.045852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c37cc9b-c476-4132-b8a0-85eac384fc4f · outbound

This paper cites Learning to achieve goals with belief state transformers.

PIG-Nav: Key Insights for Pretrained Image Goal Navigation Models Learning to achieve goals with belief state transformers

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T14:59:05.237324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10294ea0-0e90-408e-bfbf-c62ec7e743c1 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

PIG-Nav: Key Insights for Pretrained Image Goal Navigation Models Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T14:59:05.803215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c56c080-6383-43a6-b0a3-d66ae4c995f8 · outbound

This paper cites We define the provided navigation trajectory as: τ = (o0, o1, · · ·, oT ; p0, p1, · · ·, pT ) where T represents the total number of steps in the trajectory.

PIG-Nav: Key Insights for Pretrained Image Goal Navigation Models We define the provided navigation trajectory as: τ = (o0, o1, · · ·, oT ; p0, p1, · · ·, pT ) where T represents the total number of steps in the trajectory

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:06.857526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1b2e6eee-3d9e-4e4b-8430-551437901707 · outbound

This paper cites Dpos_yaw(p1, p2) = (x2 − x1)2 + (y2 − y1)2 + (cos(ψ2) − cos(ψ1))2 + (sin(ψ2) − sin(ψ1))2 Relative Pose to Goal.

PIG-Nav: Key Insights for Pretrained Image Goal Navigation Models Dpos_yaw(p1, p2) = (x2 − x1)2 + (y2 − y1)2 + (cos(ψ2) − cos(ψ1))2 + (sin(ψ2) − sin(ψ1))2 Relative Pose to Goal

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:06.503975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6fabfacc-7e89-45f2-93ec-38722cbd1bc4 · outbound

This paper cites Ving: Learning open-world navigation with visual goals.

PIG-Nav: Key Insights for Pretrained Image Goal Navigation Models Ving: Learning open-world navigation with visual goals

Reference 2008

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:08.315185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2fe88bab-b542-49e7-8137-f70a21da7b57 · outbound

This paper cites Rapid Exploration for Open-World Navigation with Latent Goal Models.

PIG-Nav: Key Insights for Pretrained Image Goal Navigation Models Rapid Exploration for Open-World Navigation with Latent Goal Models

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-06T14:59:05.459804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9fc6b05-133d-49ba-b969-986428275782 · outbound

This paper cites Tartandrive: A large-scale dataset for learning off-road dynamics models.

PIG-Nav: Key Insights for Pretrained Image Goal Navigation Models Tartandrive: A large-scale dataset for learning off-road dynamics models

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:59:07.192405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 86a39f3a-db25-45be-881c-7c321934740d · outbound

This paper cites ViNT: A Foundation Model for Visual Navigation.

PIG-Nav: Key Insights for Pretrained Image Goal Navigation Models ViNT: A Foundation Model for Visual Navigation

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-06T14:59:03.607088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8530537-087e-40da-97aa-20eaa8438048 · outbound

This paper cites VTNet: Visual Transformer Network for Object Goal Navigation.

PIG-Nav: Key Insights for Pretrained Image Goal Navigation Models VTNet: Visual Transformer Network for Object Goal Navigation

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T14:59:03.446191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 329ad51f-46e1-43b5-bf71-3359c7c04484 · outbound

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

PIG-Nav: Key Insights for Pretrained Image Goal Navigation Models DINOv2: Learning Robust Visual Features without Supervision

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T14:59:04.315315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 215ee324-2224-42d1-b463-922ca4901190 · outbound

This paper cites NaVid: Video-based VLM Plans the Next Step for Vision-and-Language Navigation.

PIG-Nav: Key Insights for Pretrained Image Goal Navigation Models NaVid: Video-based VLM Plans the Next Step for Vision-and-Language Navigation

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T14:59:03.784948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d24ebb7-8c9a-4dd9-a9f5-cf0c15bdc2ff · outbound

This paper cites The One RING: a Robotic Indoor Navigation Generalist.

PIG-Nav: Key Insights for Pretrained Image Goal Navigation Models The One RING: a Robotic Indoor Navigation Generalist

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T14:59:04.822367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.