Paper Citation Record · LEDGER

SuperLocalMemory V3.3: The Living Brain -- Biologically-Inspired Forgetting, Cognitive Quantization, and Multi-Channel Retrieval for Zero-LLM Agent Memory Systems

As of 3 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 2 inbound Pith citation observations for arXiv:2604.04514.

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

pith.paper-citation-record.v1
2604.04514 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T19:48:34.606351Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T14:01:03.929540Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

23 of 23 outbound references displayed

verified exact9
verified fuzzy8
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d51fbed8-f52b-43ae-a4a5-25ef15b0571c · outbound

This paper cites an unresolved cited work.

SuperLocalMemory V3.3: The Living Brain -- Biologically-Inspired Forgetting, Cognitive Quantization, and Multi-Channel Retrieval for Zero-LLM Agent Memory Systems Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-05-16T03:52:16.912789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 08ab7c33-aa47-4062-9ef4-dc1d07f78abd · outbound

This paper cites Context as Memory: Scene-Consistent Interactive Long Video Generation with Memory Retrieval.

SuperLocalMemory V3.3: The Living Brain -- Biologically-Inspired Forgetting, Cognitive Quantization, and Multi-Channel Retrieval for Zero-LLM Agent Memory Systems Context as Memory: Scene-Consistent Interactive Long Video Generation with Memory Retrieval

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:30:50.645013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 5752d74c-4814-4823-a2cb-01b0d5dcad2c · outbound

This paper cites When Less is More: 8-bit Quantization Improves Continual Learning in Large Language Models.

SuperLocalMemory V3.3: The Living Brain -- Biologically-Inspired Forgetting, Cognitive Quantization, and Multi-Channel Retrieval for Zero-LLM Agent Memory Systems When Less is More: 8-bit Quantization Improves Continual Learning in Large Language Models

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-02T01:17:26.518557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 84aeac40-5e59-46de-9465-22dfbf610f71 · outbound

This paper cites FOREVER: Forgetting Curve-Inspired Memory Replay for Language Model Continual Learning.

SuperLocalMemory V3.3: The Living Brain -- Biologically-Inspired Forgetting, Cognitive Quantization, and Multi-Channel Retrieval for Zero-LLM Agent Memory Systems FOREVER: Forgetting Curve-Inspired Memory Replay for Language Model Continual Learning

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-10T22:30:50.633619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 51044728-f99e-4db4-877b-530964144e91 · outbound

This paper cites Natural gradient works efficiently in learning.Neural Computation, 10(2): 251–276.

SuperLocalMemory V3.3: The Living Brain -- Biologically-Inspired Forgetting, Cognitive Quantization, and Multi-Channel Retrieval for Zero-LLM Agent Memory Systems Natural gradient works efficiently in learning.Neural Computation, 10(2): 251–276

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T03:52:16.895073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 5cd9cc07-eea9-4a4b-9baa-d6bffd434883 · outbound

This paper cites an unresolved cited work.

SuperLocalMemory V3.3: The Living Brain -- Biologically-Inspired Forgetting, Cognitive Quantization, and Multi-Channel Retrieval for Zero-LLM Agent Memory Systems Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-05-16T03:52:16.917009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 82dc0959-fa3e-4e9d-92dd-8fab3f87306b · outbound

This paper cites Agent Behavioral Contracts: Formal Specification and Runtime Enforcement.

SuperLocalMemory V3.3: The Living Brain -- Biologically-Inspired Forgetting, Cognitive Quantization, and Multi-Channel Retrieval for Zero-LLM Agent Memory Systems Agent Behavioral Contracts: Formal Specification and Runtime Enforcement

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T22:30:50.556538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation d2be2d34-fbd0-4ca3-92ab-e33783f945ff · outbound

This paper cites SuperLocalMemory v3: Information-geometric cognitive memory for AI agents.

SuperLocalMemory V3.3: The Living Brain -- Biologically-Inspired Forgetting, Cognitive Quantization, and Multi-Channel Retrieval for Zero-LLM Agent Memory Systems SuperLocalMemory v3: Information-geometric cognitive memory for AI agents

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:30:50.653672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 908863ec-dc36-4e76-8926-db9d2e13f334 · outbound

This paper cites Collins and Elizabeth F.

SuperLocalMemory V3.3: The Living Brain -- Biologically-Inspired Forgetting, Cognitive Quantization, and Multi-Channel Retrieval for Zero-LLM Agent Memory Systems Collins and Elizabeth F

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T03:52:16.904203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 45c80d68-2254-4ed9-8aa9-2d5c6a8bb93e · outbound

This paper cites Duncker & Humblot, Leipzig.

SuperLocalMemory V3.3: The Living Brain -- Biologically-Inspired Forgetting, Cognitive Quantization, and Multi-Channel Retrieval for Zero-LLM Agent Memory Systems Duncker & Humblot, Leipzig

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T03:52:16.907895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 6da39428-cf7e-4a20-b56a-75c42d0d22b1 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

SuperLocalMemory V3.3: The Living Brain -- Biologically-Inspired Forgetting, Cognitive Quantization, and Multi-Channel Retrieval for Zero-LLM Agent Memory Systems Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T03:52:16.900105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 0ccc2fda-4fdc-4007-abca-81d18e19d56c · outbound

This paper cites PolarQuant: Quantizing KV Caches with Polar Transformation.

SuperLocalMemory V3.3: The Living Brain -- Biologically-Inspired Forgetting, Cognitive Quantization, and Multi-Channel Retrieval for Zero-LLM Agent Memory Systems PolarQuant: Quantizing KV Caches with Polar Transformation

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T22:30:50.540228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation a5a93163-c780-4d6f-a413-f88974c98da4 · outbound

This paper cites SYNAPSE: Synergistic associative processing & semantic encoding.

SuperLocalMemory V3.3: The Living Brain -- Biologically-Inspired Forgetting, Cognitive Quantization, and Multi-Channel Retrieval for Zero-LLM Agent Memory Systems SYNAPSE: Synergistic associative processing & semantic encoding

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:30:50.595151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation d6c769a8-6963-4628-b55e-dcbd859aea7d · outbound

This paper cites Cognitive Memory in Large Language Models.

SuperLocalMemory V3.3: The Living Brain -- Biologically-Inspired Forgetting, Cognitive Quantization, and Multi-Channel Retrieval for Zero-LLM Agent Memory Systems Cognitive Memory in Large Language Models

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T22:30:50.623495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation b88ae1b9-6d06-46f4-b2c0-cd2164879443 · outbound

This paper cites An Accelerated Distributed Stochastic Gradient Method with Momentum.

SuperLocalMemory V3.3: The Living Brain -- Biologically-Inspired Forgetting, Cognitive Quantization, and Multi-Channel Retrieval for Zero-LLM Agent Memory Systems An Accelerated Distributed Stochastic Gradient Method with Momentum

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T22:30:50.533257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 74fa3d4e-fc32-4d80-a498-30fbffd6558d · outbound

This paper cites McClelland, Bruce L.

SuperLocalMemory V3.3: The Living Brain -- Biologically-Inspired Forgetting, Cognitive Quantization, and Multi-Channel Retrieval for Zero-LLM Agent Memory Systems McClelland, Bruce L

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T03:52:16.921202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 03a3a721-58fe-4280-ba21-810f22a766be · outbound

This paper cites Mem0: The memory layer for personalized AI.https://github.com/mem0ai/ mem0.

SuperLocalMemory V3.3: The Living Brain -- Biologically-Inspired Forgetting, Cognitive Quantization, and Multi-Channel Retrieval for Zero-LLM Agent Memory Systems Mem0: The memory layer for personalized AI.https://github.com/mem0ai/ mem0

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T03:52:16.886924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 4cb19ead-395b-44c1-a119-eb22691caeb6 · outbound

This paper cites How to generate random matrices from the classical compact groups.

SuperLocalMemory V3.3: The Living Brain -- Biologically-Inspired Forgetting, Cognitive Quantization, and Multi-Channel Retrieval for Zero-LLM Agent Memory Systems How to generate random matrices from the classical compact groups

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T03:52:16.891045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 71cb8e41-1a51-469a-bb5b-16ef552d8eaa · outbound

This paper cites MEM1: RL-trained memory consolidation for LLM agents.

SuperLocalMemory V3.3: The Living Brain -- Biologically-Inspired Forgetting, Cognitive Quantization, and Multi-Channel Retrieval for Zero-LLM Agent Memory Systems MEM1: RL-trained memory consolidation for LLM agents

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T03:52:16.882294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 6823c71e-c043-41fe-91c2-2b7545638f82 · outbound

This paper cites MemGPT: Towards LLMs as Operating Systems.

SuperLocalMemory V3.3: The Living Brain -- Biologically-Inspired Forgetting, Cognitive Quantization, and Multi-Channel Retrieval for Zero-LLM Agent Memory Systems MemGPT: Towards LLMs as Operating Systems

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-10T22:30:50.516881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation e6035378-1bfe-4897-b84b-1b3d1a49ddfd · outbound

This paper cites Hopfield Networks is All You Need.

SuperLocalMemory V3.3: The Living Brain -- Biologically-Inspired Forgetting, Cognitive Quantization, and Multi-Channel Retrieval for Zero-LLM Agent Memory Systems Hopfield Networks is All You Need

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:48:07.671009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation b1fde9a1-333a-4df0-b2c8-ec483f66d593 · outbound

This paper cites QJL: 1-Bit Quantized JL Transform for KV Cache Quantization with Zero Overhead.

SuperLocalMemory V3.3: The Living Brain -- Biologically-Inspired Forgetting, Cognitive Quantization, and Multi-Channel Retrieval for Zero-LLM Agent Memory Systems QJL: 1-Bit Quantized JL Transform for KV Cache Quantization with Zero Overhead

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:30:50.496062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 7abbe4a8-12b1-499a-8f69-1aaf69e1a044 · outbound

This paper cites TurboQuant: Online Vector Quantization with Near-optimal Distortion Rate.

SuperLocalMemory V3.3: The Living Brain -- Biologically-Inspired Forgetting, Cognitive Quantization, and Multi-Channel Retrieval for Zero-LLM Agent Memory Systems TurboQuant: Online Vector Quantization with Near-optimal Distortion Rate

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-20T08:09:22.519591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Pith citing papers

Observation 06173249-1ab1-4872-9a76-c5e382e49cca · inbound

Mi-Memory: A Lifecycle Memory Framework for Personal AI cites this paper.

Mi-Memory: A Lifecycle Memory Framework for Personal AI SuperLocalMemory V3.3: The Living Brain -- Biologically-Inspired Forgetting, Cognitive Quantization, and Multi-Channel Retrieval for Zero-LLM Agent Memory Systems

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T13:52:28.566252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd553fdf-0d80-43b2-bcd2-72a48b1266e1 · inbound

CAMeR: Keyword-Gated Hybrid Activation for Adaptive Memory Retention in LLM Agents cites this paper.

CAMeR: Keyword-Gated Hybrid Activation for Adaptive Memory Retention in LLM Agents SuperLocalMemory V3.3: The Living Brain -- Biologically-Inspired Forgetting, Cognitive Quantization, and Multi-Channel Retrieval for Zero-LLM Agent Memory Systems

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T14:01:03.929540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.