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Paper Citation Record · LEDGER

From Application-Layer Simulation to Native Meta-Architecture: Structural Tension as an Endogenous Driver for Heterogeneous AI Evolution

As of 21 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2607.06269.

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

pith.paper-citation-record.v1
2607.06269 v2

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T00:56:05.116985Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

18 of 18 outbound references displayed

  • verified exact4
  • verified fuzzy4
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fa71eb20-0236-4b37-a881-e96a9811bc63 · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

From Application-Layer Simulation to Native Meta-Architecture: Structural Tension as an Endogenous Driver for Heterogeneous AI Evolution Constitutional AI: Harmlessness from AI Feedback

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-07-11T00:57:41.744568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-11T00:56:05.116985Z digest=sha256:77b29cb68d282ed0f1803dae419062fe7a8bcc1f847810d1039137c181c07f71

Observation 5f494204-c81e-4471-ba80-76a1870b648b · outbound

This paper cites Consciousness in Artificial Intelligence: Insights from the Science of Consciousness.

From Application-Layer Simulation to Native Meta-Architecture: Structural Tension as an Endogenous Driver for Heterogeneous AI Evolution Consciousness in Artificial Intelligence: Insights from the Science of Consciousness

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-07-11T00:57:41.858421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-11T00:56:05.116985Z digest=sha256:5ab2e6d6fe3ea4bc777f3759d40352700ecbde25ea5a6083385e872896447e9e

Observation 5a668cc8-0624-4750-ab21-9b7644fcd87b · outbound

This paper cites an unresolved cited work.

From Application-Layer Simulation to Native Meta-Architecture: Structural Tension as an Endogenous Driver for Heterogeneous AI Evolution Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-07-11T00:57:42.948160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-11T00:56:05.116985Z digest=sha256:1e5f95344ecdef400402f0640d08fb64110209213fb23c22bfcc6aae9b861e3c

Observation 8c302a49-9274-4fc9-a711-bee589e272f2 · outbound

This paper cites and Harer, J.

From Application-Layer Simulation to Native Meta-Architecture: Structural Tension as an Endogenous Driver for Heterogeneous AI Evolution and Harer, J

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:57:42.856834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-11T00:56:05.116985Z digest=sha256:6f8eba8e4d995e4c0a3968dfe2d4fc59779b50e001e62772eb7c609c1bc56109

Observation 284230bd-6e40-4ba6-a39c-e966ff32a050 · outbound

This paper cites an unresolved cited work.

From Application-Layer Simulation to Native Meta-Architecture: Structural Tension as an Endogenous Driver for Heterogeneous AI Evolution Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-07-11T00:57:42.930124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-11T00:56:05.116985Z digest=sha256:78b02d6d227a3741ee687eeae2b3d5be4c9e540d72e4b8cb4c96f3f21c690a92

Observation 6e7636df-ec61-42ce-b5e0-fba849aa900f · outbound

This paper cites an unresolved cited work.

From Application-Layer Simulation to Native Meta-Architecture: Structural Tension as an Endogenous Driver for Heterogeneous AI Evolution Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-07-11T00:57:42.906003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-11T00:56:05.116985Z digest=sha256:a8940179dee89723f20db1db2575d1527b03f8d9fa9480abbcc02d4c16b0c5a5

Observation 60a3448f-183c-451b-9953-1e670a9b7386 · outbound

This paper cites Neural Turing Machines.

From Application-Layer Simulation to Native Meta-Architecture: Structural Tension as an Endogenous Driver for Heterogeneous AI Evolution Neural Turing Machines

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-07-11T00:57:41.829829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-11T00:56:05.116985Z digest=sha256:6a51b10f90f163b18e2b4cc4a95dd95aa5188cc3a9fa0a10382ac9e416c54e67

Observation 58f31814-ec6d-415a-9275-b7c4dba177e7 · outbound

This paper cites G., Grefenstette, E., Ramalho, T., Agapiou, J., et al.

From Application-Layer Simulation to Native Meta-Architecture: Structural Tension as an Endogenous Driver for Heterogeneous AI Evolution G., Grefenstette, E., Ramalho, T., Agapiou, J., et al

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:57:42.954992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-11T00:56:05.116985Z digest=sha256:61ab213121a328a522efb8beb57cb8be1ed337099aedc8a21e1443358b20022e

Observation 84ba7408-e35d-4a35-ae8b-f26e12a347c0 · outbound

This paper cites an unresolved cited work.

From Application-Layer Simulation to Native Meta-Architecture: Structural Tension as an Endogenous Driver for Heterogeneous AI Evolution Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-07-11T00:57:42.980306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-11T00:56:05.116985Z digest=sha256:5777a69dc61f19c65d306faa242ff7e99deffc94afd88812df09cd7f5720fd0a

Observation deea7d18-38bf-42ec-8c03-309034320238 · outbound

This paper cites W., Hadsell, R., and Ranzato, M.

From Application-Layer Simulation to Native Meta-Architecture: Structural Tension as an Endogenous Driver for Heterogeneous AI Evolution W., Hadsell, R., and Ranzato, M

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:57:43.107723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-11T00:56:05.116985Z digest=sha256:e5928644daf958e4d16b0f438e5ddb22e36e2ccf9a89f5e73e14d09241c48075

Observation bfcaf07f-908b-4b26-9476-9d3417daca69 · outbound

This paper cites and Cohen, N.

From Application-Layer Simulation to Native Meta-Architecture: Structural Tension as an Endogenous Driver for Heterogeneous AI Evolution and Cohen, N

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T00:57:43.084406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-11T00:56:05.116985Z digest=sha256:3c028e0e5b776f5f6f613a42239a2fbab35dc965b89ba68535b8b99b9878a264

Observation 83034abb-b957-4371-91d4-20baf3c5d68b · outbound

This paper cites an unresolved cited work.

From Application-Layer Simulation to Native Meta-Architecture: Structural Tension as an Endogenous Driver for Heterogeneous AI Evolution Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-07-11T00:57:43.036888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-11T00:56:05.116985Z digest=sha256:33289bece65b2cbdaeea8572106fc36e444c5eeb6344c56c8d1aa865f0c904c0

Observation 3150dd0e-948d-40ba-98b3-27dbb19c0a32 · outbound

This paper cites an unresolved cited work.

From Application-Layer Simulation to Native Meta-Architecture: Structural Tension as an Endogenous Driver for Heterogeneous AI Evolution Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-07-11T00:57:43.004484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-11T00:56:05.116985Z digest=sha256:441a23eb5a8dec37f009139f5a8acd6db93e07e92fc0c1780182ddda640d2613

Observation 43c86de4-fb77-4499-8408-f035c61c1535 · outbound

This paper cites an unresolved cited work.

From Application-Layer Simulation to Native Meta-Architecture: Structural Tension as an Endogenous Driver for Heterogeneous AI Evolution Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-07-11T00:57:43.060715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-11T00:56:05.116985Z digest=sha256:988cde58a4a072524665c96a5e69652409fb10b29a337cff73e632089dc074bb

Observation a6923243-24fe-48d7-8690-a6c76add4f97 · outbound

This paper cites an unresolved cited work.

From Application-Layer Simulation to Native Meta-Architecture: Structural Tension as an Endogenous Driver for Heterogeneous AI Evolution Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-07-11T00:57:43.131688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-11T00:56:05.116985Z digest=sha256:454ca522b3f2631068bd3af56afcbc5cdfe9dd31f4237a6a64e384eeeba834ce

Observation 434c628c-ea5d-45b5-a551-bf93990a92ef · outbound

This paper cites Progressive Neural Networks.

From Application-Layer Simulation to Native Meta-Architecture: Structural Tension as an Endogenous Driver for Heterogeneous AI Evolution Progressive Neural Networks

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-07-11T00:57:41.803826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-11T00:56:05.116985Z digest=sha256:993b5b5adf55469736a60a237a56ed8f882455f4cf27b4d0b8ee49b6d3e154e8

Observation 41ddcf68-07a9-451d-9bfb-b602b7efec9a · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

From Application-Layer Simulation to Native Meta-Architecture: Structural Tension as an Endogenous Driver for Heterogeneous AI Evolution Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-07-11T00:57:41.775107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-11T00:56:05.116985Z digest=sha256:51ca597b421b58205a038b2caf7033b7d278526f31a0647150e176c65e6d79ea

Observation 8e086df0-f457-4189-9576-9328ebe0475c · outbound

This paper cites an unresolved cited work.

From Application-Layer Simulation to Native Meta-Architecture: Structural Tension as an Endogenous Driver for Heterogeneous AI Evolution Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-07-11T00:57:42.884701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-11T00:56:05.116985Z digest=sha256:4d7467b382890f3dbabdf582efabe7e6d6d022fe5216cdaab47ade650cc7b724

Pith citing papers

No inbound Pith citation observations are available.