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Paper Citation Record · LEDGER

Memory Centric Power Allocation for Multi-Agent Embodied Question Answering

As of 6 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 3 inbound Pith citation observations for arXiv:2604.17810.

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

pith.paper-citation-record.v1
2604.17810 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T05:14:34.862673Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-02T21:59:35.182882Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T21:28:59.267906Z

Reference resolution

17 of 17 outbound references displayed

  • verified exact0
  • verified fuzzy17
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 91741f55-9e05-460b-86e9-2794e9f45bb4 · outbound

This paper cites Robovqa: Multimodal long-horizon reasoning for robotics.

Memory Centric Power Allocation for Multi-Agent Embodied Question Answering Robovqa: Multimodal long-horizon reasoning for robotics

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T21:45:41.359533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T05:14:34.862673Z digest=sha256:3da18ecb04e2ff4bce6c15c992a448aea2c5e2f9669183f3d5b2b94a0b4950e5

Observation 31087bad-d251-4d15-9d61-5c005eeff79f · outbound

This paper cites Remembr: Building and reasoning over long-horizon spatio-temporal memory for robot navigation.

Memory Centric Power Allocation for Multi-Agent Embodied Question Answering Remembr: Building and reasoning over long-horizon spatio-temporal memory for robot navigation

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T21:45:41.356536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T05:14:34.862673Z digest=sha256:64e33ec53ef1413aecc03ad162b267f1f47b239b9b33498b51787d5b9eade251

Observation 9fd8a747-f15a-4a4d-ab2a-7c857a7ce643 · outbound

This paper cites Embodied edge intelligence meets near field communication: Concept, design, and verification.

Memory Centric Power Allocation for Multi-Agent Embodied Question Answering Embodied edge intelligence meets near field communication: Concept, design, and verification

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T21:45:41.337945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T05:14:34.862673Z digest=sha256:06fee724279fb28a1444d3846adbfd194e65230de52fbb153e1f15621858e502

Observation d6ccb63e-cb01-4411-872c-4d61e448f3a6 · outbound

This paper cites Towards top-down reasoning: An explainable multi-agent approach for visual question answering.

Memory Centric Power Allocation for Multi-Agent Embodied Question Answering Towards top-down reasoning: An explainable multi-agent approach for visual question answering

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T21:45:41.371462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T05:14:34.862673Z digest=sha256:1d15b4b654684301519855df60d644b45b24bf52e1c9936ffa76800d6ebf75cb

Observation 8b57c9f9-89ef-4c3a-9e76-ccbba388c5bc · outbound

This paper cites Development and application of coverage control algorithms: A concise review.

Memory Centric Power Allocation for Multi-Agent Embodied Question Answering Development and application of coverage control algorithms: A concise review

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T21:45:41.335028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T05:14:34.862673Z digest=sha256:ec79aa4e62a1fd5f4dd15a0f30ca55e3d9da3fe86a2562335eb721c569fb0a72

Observation e4ea7682-aa2b-4623-9a70-2e3c4db02d91 · outbound

This paper cites Integrated sensing and communications for low-altitude economy: A deep reinforcement learning approach.

Memory Centric Power Allocation for Multi-Agent Embodied Question Answering Integrated sensing and communications for low-altitude economy: A deep reinforcement learning approach

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T21:45:41.353723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T05:14:34.862673Z digest=sha256:83cc61a6bc9604a7bac41fd6e9d7307aca26d7b135c88d76205fbb13c0486a35

Observation 61795a84-aa8a-4b8b-86c1-4bd92229ffaf · outbound

This paper cites Low-altitude satellite-aav collaborative joint mobile edge computing and data collection via diffusion-based deep reinforcement learning.

Memory Centric Power Allocation for Multi-Agent Embodied Question Answering Low-altitude satellite-aav collaborative joint mobile edge computing and data collection via diffusion-based deep reinforcement learning

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T21:45:41.380460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T05:14:34.862673Z digest=sha256:bbda7afef8f3d8a1cf8cbdba9df629836e8809891e2a90c6ee96a697462e6cbc

Observation 0b68e484-2ce9-4c19-8390-918de5a5f521 · outbound

This paper cites Integrated sensing and communication for low altitude economy: Opportunities and challenges.

Memory Centric Power Allocation for Multi-Agent Embodied Question Answering Integrated sensing and communication for low altitude economy: Opportunities and challenges

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T21:45:41.368145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T05:14:34.862673Z digest=sha256:be275393e8aaabecc4ef4f69cf9a5d37435ec1a22146af3db73c60715f940e9b

Observation ca60833f-e172-4900-a172-eb2dc8f88953 · outbound

This paper cites Intelligent semantic commu- nication scheme integrating isac for low-altitude intelligent networks.

Memory Centric Power Allocation for Multi-Agent Embodied Question Answering Intelligent semantic commu- nication scheme integrating isac for low-altitude intelligent networks

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T21:45:41.346922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T05:14:34.862673Z digest=sha256:a3dd80e3e6573dbf4cf2eb0b2990b27bcd7c748c0d622be7c5ab3042e8751040

Observation 2d60ec28-dfff-4dfd-96e1-5de38f10ebce · outbound

This paper cites Resource allocation for text semantic communications.

Memory Centric Power Allocation for Multi-Agent Embodied Question Answering Resource allocation for text semantic communications

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T21:45:41.331937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T05:14:34.862673Z digest=sha256:7b51dda0549213e6b32b0633bd3ac28e2a838c76a49ec5a47b4802631041f3ea

Observation 8a9c185f-896a-4ce1-b208-b72933f469c1 · outbound

This paper cites Machine intelligence at the edge with learning centric power allocation.

Memory Centric Power Allocation for Multi-Agent Embodied Question Answering Machine intelligence at the edge with learning centric power allocation

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T21:45:41.374632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T05:14:34.862673Z digest=sha256:21ca60c1fa9edd3ca94a610d0eb155d3d956cb93e5d13f79e6064707648d821c

Observation ecc55bdb-6396-4e95-9ad8-5415a7d2850d · outbound

This paper cites Task- oriented communications for 6g: Vision, principles, and technologies.

Memory Centric Power Allocation for Multi-Agent Embodied Question Answering Task- oriented communications for 6g: Vision, principles, and technologies

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T21:45:41.365199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T05:14:34.862673Z digest=sha256:996be92d144370450bb759b1646adf3090fdef0c5c3d4303adbb9dd92f8d0114

Observation 803301f6-1553-4fb6-9a11-7f1ce6de0458 · outbound

This paper cites Task- oriented sensing, computation, and communication for multi-device edge ai.

Memory Centric Power Allocation for Multi-Agent Embodied Question Answering Task- oriented sensing, computation, and communication for multi-device edge ai

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T21:45:41.362338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T05:14:34.862673Z digest=sha256:eb9df7ad5cac00bfdc481938abcae845aaadc1dc17b027aedd5143527714cbf2

Observation 042f9a80-be03-4949-9117-8a519a5c3524 · outbound

This paper cites Majorization-minimization algo- rithms in signal processing, communications, and machine learning.

Memory Centric Power Allocation for Multi-Agent Embodied Question Answering Majorization-minimization algo- rithms in signal processing, communications, and machine learning

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T21:45:41.350385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T05:14:34.862673Z digest=sha256:f26b890d9d07e0ccf563d1a9b370a0a2d7450c824017577a75ab3a8316fab000

Observation b8abbff8-8105-4a84-853f-336f7b520a43 · outbound

This paper cites Carla: An open urban driving simulator.

Memory Centric Power Allocation for Multi-Agent Embodied Question Answering Carla: An open urban driving simulator

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T21:45:41.377621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T05:14:34.862673Z digest=sha256:77d63524dd405fe3489b68786527772ec2f8cedf3147ab9635fbf4b105d84c84

Observation 30e804bb-0e8c-4d2e-9bef-165b029719c7 · outbound

This paper cites Wireless max-min utility fairness with general monotonic constraints by perron-frobenius theory.

Memory Centric Power Allocation for Multi-Agent Embodied Question Answering Wireless max-min utility fairness with general monotonic constraints by perron-frobenius theory

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T21:45:41.343894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T05:14:34.862673Z digest=sha256:2f04f710089be15918d74fdfe3202ac540b94da1beb3dd46e39dc60211cfbade

Observation 40951101-c48a-4917-9398-73e5ae98e325 · outbound

This paper cites K-vqg: Knowledge-aware visual question generation for common-sense acquisition.

Memory Centric Power Allocation for Multi-Agent Embodied Question Answering K-vqg: Knowledge-aware visual question generation for common-sense acquisition

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T21:45:41.340905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T05:14:34.862673Z digest=sha256:f9a5434ad8b75983d7b37b6bbfc7d54f44ba7b9e4ca75c9d6d3b723e1bdb52fb

Pith citing papers

Observation 368e9b02-6590-4954-b167-cb0e7171eacc · inbound

Qwen-RobotNav Technical Report: A Scalable Navigation Model Designed for an Agentic Navigation System cites this paper.

Qwen-RobotNav Technical Report: A Scalable Navigation Model Designed for an Agentic Navigation System Memory Centric Power Allocation for Multi-Agent Embodied Question Answering

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-07-03T21:28:59.269128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-27T00:28:04.678371Z digest=sha256:70aad216396a7df2688c745d264dfc283cae99f2e925a0f641a7d786bc9ace9f

Observation 73797621-3031-4083-b2f0-275b42a95702 · inbound

Qwen-RobotNav Technical Report: A Scalable Navigation Model Designed for an Agentic Navigation System cites this paper.

Qwen-RobotNav Technical Report: A Scalable Navigation Model Designed for an Agentic Navigation System Memory Centric Power Allocation for Multi-Agent Embodied Question Answering

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-06-30T10:54:36.798351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T10:47:20.911408Z digest=sha256:d30f083fde43b1f396741910d1a0576ced17a304834e16e57aab371ce607d67b

Observation 04fa97de-2e9f-45ad-9674-0c5594ab9d13 · inbound

Memory-Native Non-Terrestrial Networks for Embodied Intelligence cites this paper.

Memory-Native Non-Terrestrial Networks for Embodied Intelligence Memory Centric Power Allocation for Multi-Agent Embodied Question Answering

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-07-02T22:07:25.816209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T21:59:35.182882Z digest=sha256:334d788add4c5b019fe66999bca09ffb55adcc3d20adddfc2ffcb5c304792088