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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 15 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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-07-11T00:56:05.116985Z digest=sha256:37dffb502022db544d0d850652f742c87e571563361cb6b31cf9c6bb3cf59cda

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-07-11T00:56:05.116985Z digest=sha256:df0ab5831fddc648f3e782e090b1ec129dbe9d21fa312fd115670dd483b8a23f

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-07-11T00:56:05.116985Z digest=sha256:f3eb6bcde6483965be2269f957d166e445a28cbafa5bad26dd17a6491e48b348

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-07-11T00:56:05.116985Z digest=sha256:bbe5c450852fdbd52c2c3374d1e642a22d55da7490fe6baa6fbbf93e1ead4942

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-07-11T00:56:05.116985Z digest=sha256:41994448f2b69fbdd4a0e0fbf19148743e377a0d08e10517e2efda6f9e976260

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-07-11T00:56:05.116985Z digest=sha256:f4f275645d765b27c0d08583129dcdb06f785edd10592ce1a04a60b9aa71accf

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-07-11T00:56:05.116985Z digest=sha256:b4c0cca0e81c758f82dafc3ac31ec5163421a4518de751ba437fc8c207e9284a

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-07-11T00:56:05.116985Z digest=sha256:56d1c2c2f30a4ad7ec8598fd389188dda7895a84a6dcf9d23fede871d23b9940

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-07-11T00:56:05.116985Z digest=sha256:77f799023b333739f1f6bbbbe3d0eca61030dbd2b12f5be99497c41f25d83986

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-07-11T00:56:05.116985Z digest=sha256:857c62db33ac6a23bf27caafd0fc59e671aa9682f4a8f72cf7c293c4089f74a3

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-07-11T00:56:05.116985Z digest=sha256:c15b99f67af9ca39fe03cad5c1c11dbca894cdce091eff427e8a2b9dea2f29f7

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-07-11T00:56:05.116985Z digest=sha256:a7eef01e6c19b40c3042a8baefcd16a298387955c028e317592642e95ceea6e4

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-07-11T00:56:05.116985Z digest=sha256:356e4b0c0f7209fee47ebb6b12b0de87836e4585a4162860cd7f0b842f72e313

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-07-11T00:56:05.116985Z digest=sha256:42655a45d28655c42927509f5dff8c327343e3cdb09896fe7349c2d6646d0489

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-07-11T00:56:05.116985Z digest=sha256:9ef3bd82ecbe52f1987e191dca0065988259c3e11a1c9c962b56fc5c8662b626

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-07-11T00:56:05.116985Z digest=sha256:5ccc81a3bc28f4883613a726fec03a1c4470204bd16d13dd0730d15cc4854dd3

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-07-11T00:56:05.116985Z digest=sha256:4b5442262434126d8fa54dfc3c4a5e5cafdff326fcd9e4692d1b7de74981b37e

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-07-11T00:56:05.116985Z digest=sha256:7e08c9ddfae65e5b3ab63b5ac17c8d6a05b1eb3d3c08f7d95aa32f5ca25eca4e

Pith citing papers

No inbound Pith citation observations are available.